Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Magnetic Enzyme Metal Organic Framework Composites (MNEMONIC)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Austria
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-11-01
End date: 2019-11-30
Duration (months): 24.0
Total project cost (EUR): 166156.8
EU funding (EUR): 166156.8
Participants: 1
Project status: CLOSED

The aim of this interdisciplinary project is to develop composites consisting of metal-organic frameworks (MOFs), magnetic nanoparticles (MNPs), and enzymes. The MOF coating protects the biomacromolecule from inhospitable conditions, and provides a permeable and selective molecular gate for the diffusion of substrates and products, thanks to its intrinsic and tunable porosity. External magnetic forces acts on the MNPs to allow for precise positioning of this ternary system. These highly efficient, long-lasting, robust, and dynamically positionable crystalline biocatalysts will be synthesized using the recently discovered biomimetic mineralization process, in which MOF precursors, metal ions, and organic ligands nucleates on the biomacromolecule without the need of stabilizing polymers or organic solvents, in aqueous solution at room temperature. This innovative technique has been proven successful for a wide range of protein and enzymes, and is currently the best performing procedure available for this class of porous material in terms of efficiency of enzyme encapsulation, absence of leaching, and reactions conditions and time. Key aspects of the project will be: the production of enzymes suitable for a multistep process; the synthesis and characterization of the composites; finally their integration into fluidic devices. The effects of process variables on particle size and morphology, enzyme loading and activity, MOF robustness, magnetic properties, and recyclability of the composite will be investigated with a multifaceted analytic approach. The long-term impact of this project includes technological benefits for industrial biotechnology, owing to the superior resistance of MOF-coated enzymes towards organic solvents, heat, and inhibitors, along with the presence of MNPs that permits the easy recovery of the MagEnzMOFs and their integration into fluidic reactors, to provide continuous production with high automation.

Keywords: metal organic framework,magnetic framework composite,magnetic nanoparticle,enzyme,encapsulation,biomimetic mineralization,fluidic device,industrial biotechnology
hybridFRET - deciphering biomolecular structure and dynamics (hybridFRET)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Physical and analytical chemical sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Germany
Call: ERC Advanced Grant (ERC-2014-ADG, 2014)
Start date: 2015-12-01
End date: 2021-05-31
Duration (months): 66.0
Total project cost (EUR): 2499457.5
EU funding (EUR): 2499457.5
Participants: 1
Project status: CLOSED

To understand and modulate biological processes, we need their spatiotemporal molecular models. In this project we propose to build these models by a holistic approach. The recent methodological and technical advances in fluorescence spectroscopy and microscopy as well as in multi-scale modelling of complex biochemical systems set the stage to tackle cross-fertilizing challenges in biophysics, biochemistry and cell biology. The applicant proposes to develop a novel integrative platform for a Molecular Fluorescence Microscope (MFM) to achieve ultimate resolution in space (sub-nanometer) and time (picoseconds) for characterizing structure and dynamics of proteins. MFM will combine Multi-parameter Fluorescence Detection with Computational Microscopy (molecular dynamics and coarse grained simulations) in a hybrid approach, first, to derive a complete molecular description of all fluorescence properties of the tailored dyes in proteins (objectives 1 and 2) and, second, to utilize this information in simulations to report on the protein properties (objective 3). In this hybrid approach high precision FRET measurements are the core experimental technique (hybridFRET). The MFM will allow us to tackle the central biophysical question of how intra- and intermolecular domain interactions modulate proteins' overall structure, dynamics, and thus ultimately function (objective 4). In this proposal we will apply MFM to two prototypic proteins of significant medical relevance. The combination with Multi-parameter Fluorescence Image Spectroscopy will exploit the ultimate resolution of the MFM for molecular protein imaging in live cells. To follow and ultimately understand biological processes, we need their spatiotemporal models of the integrative fluorescence spectroscopy platform. Until now, no holistic use of fluorescence spectroscopy for structural modelling of proteins has been reported.

Keywords: fluorescence microscopy,fret
Reconciling Scales in Global Seimology (TRANSCALE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Earth system science
Panel description: Physical geography, geology, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management
Countries involved: France
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-04-01
End date: 2023-03-31
Duration (months): 72.0
Total project cost (EUR): 1498750.0
EU funding (EUR): 1498750.0
Participants: 1
Project status: SIGNED

For more than 30 years, seismologists have used seismic waves to produce 3D images of the structure of the Earth. Despite many successes, a number of key questions still remain, which are of the uttermost importance to understand plate tectonics. What is the nature of the Lithosphere-Asthenosphere Boundary? What is the structure and history of the continental lithosphere? The problem is that different seismic observables sample the Earth at different scales; they have different sensitivity to structure, and are usually interpreted separately. Images obtained from short period converted and reflected body waves see sharp discontinuities, and are interpreted in terms of thermo-chemical stratification, whereas seismic models constructed from long period seismograms depict a smooth and anisotropic upper mantle, and are usually interpreted in terms of mantle flow. However, sharp discontinuities may also produce effective anisotropy at large scales, and only a joint interpretation of different frequency bands can allow to fully localizing the patterns of deformation in the mantle. The proposed work consists in developing and applying an entirely new approach to geophysical data interpretation, where different data types sampling the Earth at different scales are jointly embraced into a single Bayesian procedure. This proposal focuses on theoretical, algorithmic and computational advances needed for a new generation of tomographic models. We will use the large amount of data available in North-America (surface wave measurements, scattered body waves, SKS splitting measurements) to produce a multiscale model under North-America, depicting both discontinuities and anisotropy. This will allow us to answer some crucial questions about the structure and evolution of Earth. We will also produce a first fully Bayesian global Earth model by jointly inverting normal modes, surface and body wave observations.

Keywords: seismic tomography,seismic anisotropy,surface waves,receiver functions
RenoBooster - the Smart Renovation Hub Vienna (RenoBooster)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Reducing energy consumption and carbon foorpint by smart and sustainable use
Action type: Coordination and support actions
Countries involved: Austria
Call: Integrated home renovation services (H2020-LC-SC3-EE-2018, 2018)
Start date: 2019-05-01
End date: 2022-10-31
Duration (months): 42.0
Total project cost (EUR): 1893518.75
EU funding (EUR): 1893518.75
Participants: 8
Project status: CLOSED

Vienna has set itself ambitious targets in its Smart City Framework Strategy. To achieve those targets, efforts must be increased considerably. With a large share of multi-storey buildings and the highest share of large buildings from before 1919, Vienna’s building stock differs significantly from those of the other Austrian provinces and calls for specifically targeted strategies and actions. RenoBooster – the Smart Renovation Hub Vienna proposes a tailored and timely answer to this challenge. It is the joint effort of renowned institutional, technical and social expertise led by the City of Vienna, to create an attractive offer - One-Stop-Shop - for the Viennese private home owners and their building managers built on existing services. The project is designed as comprehensive participatory process, involving the key stakeholders in Vienna and thus laying the ground for stable local partnerships for renovation. Substantial support has already been achieved in preparation of the proposal. The project combines new consulting services, banking and finance instruments, targeted subsidies, communication formats as well as technical and legal framework conditions into integrated services. Careful market segmentation and target-group specific communication will support the development and thorough testing of a number of new packages – including topics like efficient technologies, renewable energy and energy poverty. Quality assurance to support home owners in achieving the expected energy savings will be the essential element. In the first 5 years of the Smart Renovation Hub Vienna the new integrated services are expected to lead to an increase of the renovation rate and quality, triggering at least 110 mio € investments, 5.5 GWh/a of primary energy savings and a reduction of 1000t of CO2 emissions/a. Moreover, RenoBooster is expected to create a positive dynamic going beyond this project and stimulate further energy-efficient renovation initiatives.

Keywords: one stop shop,deep renovation,market segmentation,broad stakeholder commitment and involvement,new integrated services for energy efficient renovation,vienna
Deconstructing and rebuilding the evolution of cell and tissue mechanoadaptation (CoEvolve)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Products and processes engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Netherlands
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2020-01-01
End date: 2024-12-31
Duration (months): 60.0
Total project cost (EUR): 1499601.0
EU funding (EUR): 1499601.0
Participants: 1
Project status: SIGNED

Cells in our body are exceptionally robust: they constantly adapt their properties and behavior to their physical environment. Less appreciated but equally important, the extracellular matrix (ECM) around the cells also adapts to accommodate cell activity. This highly dynamic feedback between the cell and the ECM has been increasingly recognized to play a key role in not only tissue morphogenesis and functions, but also a variety of diseases, from cardiomyopathies to cancer. Moreover, it presents an unprecedented challenge in healthcare and therapeutics, especially regenerative medicine, as progress in this field requires a paradigm shift from conventional, static cell descriptions to a co-evolving cell and tissue physiology. This proposal aims to instigate this transformation by unravelling the fundamental biophysical principles behind cell–matrix dynamic reciprocity and generating a multiscale roadmap of mechanoadaptation critical in functional tissue regeneration. To achieve this goal, we will develop cutting-edge in vitro manipulation tools to deconstruct and rebuild the dynamics of cells and the ECM independently and interactively, thereby granting us full spatiotemporal control of each component in the system. Using this unique tissue-environment-inspired bottom-up approach, we will dissect how 1) physical changes in the environment are sensed and elicit response by the cell, 2) cell-induced ECM remodeling contributes to mechanical signal transmission, and 3) these local changes are orchestrated into global coordinated mechanoadaptation at the tissue level. The findings will have a broad impact on our fundamental understanding of cell and tissue physiology by identifying novel concepts in mechanoadaptation and will offer specific biomaterial design principles for tissue regeneration. The developed methodology will also advance the field in new directions by enabling further studies on downstream cell and tissue (mal)functions under dynamic conditions.

Keywords: biomechanics,micro manipulation
Functional Nanoscale Imaging: New Techniques to Probe Living Cells (FUNNANO)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-06-18
End date: 2020-06-17
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

This proposal presents unique and innovative approaches for ultra-high-resolution functional electrochemical imaging of living cells, using smart nanometer probes that will enable the investigation of bio-physicochemical process within a single living cell with unprecedented sub-cellular resolution. Truly nanoscale electrochemical probes will be developed that shall be capable of performing multiple in-situ and time-resolved electrochemical measurements, and synchronously map cell topography. This will bring a whole analyses laboratory onto a probe tip in a new conceptual idea of a “lab-on-a-tip”, which is at the core of this proposal. Using PC12 cells as an exemplar, we will investigate cellular uptake/release, cellular membrane charge heterogeneity (down to the single protein) and temperature gradients, as well as chemical and environmental aspects to respiration. The developments from this proposal will represent a major breakthrough in functional electrochemical imaging and will elucidate key cellular processes. This developments will have a huge impact on life sciences and on the electrochemical imaging field and, granted the wide applicability of electrochemical imaging, will be hugely beneficial for other areas of science. The proposal is highly interdisciplinary, and there is a natural fit between the Fellow’s profile and activities at the Host Group and collaborators in Life Sciences. The proposal draws on the Fellow’s solid background in chemistry and instrumentation development, which will be married with the world-leading research on new nanoscale functional imaging techniques of the Warwick Host. With support and expertise from the Host, this project will provide the applicant, Gabriel N. Meloni, with an outstanding opportunity to pioneer a new area of science, from which he will benefit in the future as he develops his independence. The project build and strengthen scientific links between the Gabriel’s home country (Brazil) and groups in Europe.

Keywords: scanning electrochemical probe microscopy,scanning electrochemical microscopy,scanning ion conductance microscopy,single cell imaging,single cell analyses,high resolution electrochemical imaging
A Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimisation (AMPERE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Italy,Italy,Germany,Germany,Italy,Spain,Switzerland,France,Czechia,Portugal
Call: Computing technologies and engineering methods for cyber-physical systems of systems (H2020-ICT-2019-2, 2019)
Start date: 2020-01-01
End date: 2023-06-30
Duration (months): 42.0
Total project cost (EUR): 4999427.49
EU funding (EUR): 4999427.49
Participants: 12
Project status: SIGNED

Complex, dependable and physically-entangled systems of systems must be supported by innovations to allow a significant reduction of the cost and complexity of system design targeting computing platforms composed of parallel heterogeneous architectures. Software development is one key challenge, as current programming tools do not fully support emerging processor architectures. Parallel and heterogeneous platforms are difficult to program and even more to optimise for the multiple conflicting criteria imposed by applications, such as performance, energy efficiency, real-time response, resiliency and fault tolerance. AMPERE addresses this challenge by incorporating model-driven engineering (MDE) as the key element for the construction of complex software architectures. MDE enables to efficiently capture system's functional and non-functional requirements, including multiple conflicting requirements, as well as enabling the use of domain specific model-driven languages (DSML) to further refine the description of cyber/physical interactions. The vision of AMPERE is that there is a clear necessity of developing a new generation of code synthesis methods and tools capable to implement correct-by-construction systems, in which the constraints captured by the system model are efficiently transformed to the parallel programming models supported by the underlying parallel heterogeneous platform, whilst providing the level of performance required. Moreover, AMPERE will provide computing software composed of a set of advanced run-time methods implementing monitoring and dynamic reconfiguration techniques, that will support the parallel execution to improve the overall system's efficiency, and guarantee that the non-functional requirements capture by the DSML are fulfilled. AMPERE advances will be integrated in a set of ready-to-use tools and libraries, and validated through demonstration in two reference applications, from automotive and railway domains.

Keywords: model driven engineering,code synthesis,multi criteria optimisation,low energy computing,timing analysis,safety,parallel programming models,parallel heterogeneous computing,rtos,hypervisors
Classification of Forest Structural Types with LiDAR Remote Sensing Applied to Study Tree Size-Density Scaling Theories (LORENZLIDAR)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2016-09-01
End date: 2018-08-31
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

The main goal of this research is to develop an objective methodology for monitoring forest structural complexity by airborne laser scanning (ALS) remote sensing. Most European countries are currently acquiring low-density national ALS data, by scanning with LiDAR sensors onboard airborne platforms, in the process to obtain full-country coverage and making it publicly available. These datasets are taken in relatively homogeneous conditions, therefore providing with a chance to develop Pan-European indicators and automated unsupervised methods not requiring field data. With the intention of producing a methodology that could be replicated in practice by any forest practitioner, publicly available ALS data from national land surveys of Member States will be used, and unsupervised methods not requiring field data will be developed. The laser partly penetrates the forest canopy, therefore providing an opportunity to study the establishment of natural regeneration in the understory layers. The analysis will be based on the study of the Lorenz curve, a method for which the applicant has obtained promising preliminary results and which the present proposal plans to generalize for more forest ecosystem types and low-density National laser datasets. The diameter distributions will be evaluated with regard to their agreement to metabolic ecology and demographic equilibrium theories. The development of a mathematical framework linking Lorenz ordering to diameter-density scaling relationships will provide with a method for authomated ecological evaluation of forests by means of ALS remote sensing. In practice this means that competition and forest disturbance conditions are different at different forest areas, and we suggest that the Lorenz method for ALS can provide indicators for these conditions. The application will be on a replicable method for forest stratification into structural types from ALS data acquired in national programmes.

Keywords: lidar,airborne laser scanning,forest structure,size density scaling,probability distribution functions,metabolic scaling theory,demographic equilibrium theory
Local-global principles and zero-cycles (LocalGlobal0Cycles)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Mathematics
Countries involved: Austria
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-10-01
End date: 2021-09-30
Duration (months): 24.0
Total project cost (EUR): 174167.04
EU funding (EUR): 174167.04
Participants: 1
Project status: CLOSED

The study of rational solutions to Diophantine equations is an important research area in number theory, with many concrete applications in different disciplines, including cryptography. The candidate's proposed work aims at investigating, via "local-global" techniques, the arithmetic behaviour of certain generalisations of rational solutions to Diophantine problems, called "zero-cycles". The goal is to systematically develop the theory of these generalised solutions in order to open it up to a wider range of tools and research directions, including arithmetic statistical ones (in the spirit of the work developed by Field medallist Prof Bhargava). The proposed supervisor, Prof Tim Browning, is a world-renowned expert in the study of Diophantine equations. He has considerable experience in successfully supervising research, having mentored several PhD students and postdoctoral researchers. The choice of IST Austria as the host institution is a natural one, given the perfect affinity of the supervisor and his number theory group's expertise to the candidate's proposed work. The candidate, Dr Francesca Balestrieri, completed her undergraduate studies at University of Cambridge and her graduate studies under an EPSRC Studentship at University of Oxford, where she obtained her DPhil in 2017. She is now a postdoctoral fellow at the Max Planck Institute for Mathematics in Bonn. The candidate's proposed work on zero-cycles will be of great interest to the arithmetic geometry community, laying the foundations for new research directions and fruitful international collaborations. he project will better integrate her into the continental European research network and allow her to progress towards her career goal of becoming an established independent researcher at a leading European institution.

Keywords: rational points,zero cycles,local global principles,algebraic varieties