Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Single Molecule Junctions With Non-Conventional Architectures, Crafted In Silico (SMJCY)

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: Switzerland
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-11-01
End date: 2018-10-31
Duration (months): 24.0
Total project cost (EUR): 175419.6
EU funding (EUR): 175419.6
Participants: 1
Project status: CLOSED

Unimolecular electronics is a cutting-edge field of materials research. It employs the ability of an organic molecule to conduct as a key component of miniature electronic devices and as a powerful tool for studying the intricate details of molecular structure. While state-of-the-art experimental techniques have been developed to manufacture and characterise the single molecule junctions (SMJs), empirical trial-and-error approach, predominant in this field so far, struggles to address some of the common shortcomings and deduce the design principles for future devices. In this proposal fundamental physical-organic chemistry concepts and high-level computational chemistry methods are employed to test the ability of several architectures to improve the performance and broaden the functionality of the SMJs. Specifically, cyclophanes and cage (polycyclic) alkanes are chosen due to their peculiar structures and intriguing charge transfer properties. Cyclophanes offer, in addition to conventional conduction pathways through the π-conjugated system, through-space transport via lateral π-coupling, while cage alkanes, e.g. adamantane, possess compact σ-electron density within a multitude of interfering conduction pathways. Moreover, inherent strain in such species can be utilised for direct coupling to the electrodes, while their hollow skeleton may be used as a molecular switch (via trapping). Potential of such systems in unimolecular electronics has already been illustrated in the recent literature, however a systematic ceteris paribus assessment is necessary to bridge their chemical-physical properties to SMJs efficiency. In this proposal both common and in-house computational chemistry tools will be used to identify molecular-level performance descriptors and deduce the relevant structure-function relationships. The outcomes of the project would offer guidance for the mix-and-match design of future experiments and yield new and improved SMJ architectures.

Keywords: molecular electronics,single molecule junctions,cyclophanes,cage alkanes
A single-cell genomics approach integrating gene expression, lineage, and physical interactions (IntScOmics)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Integrative Biology: from Genes and Genomes to Systems
Panel description: Genetics, epigenetics, genomics and other ‘omics studies, bioinformatics, systems biology, genetic diseases, gene editing, innovative methods and modelling, ‘omics for personalised medicine
Countries involved: Netherlands,Netherlands
Call: ERC Advanced Grant (ERC-2016-ADG, 2016)
Start date: 2018-01-01
End date: 2022-12-31
Duration (months): 60.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 2
Project status: SIGNED

From populations of unicellular organisms to complex tissues, cell-to-cell variability in phenotypic traits seems to be universal. To study this heterogeneity and its biological consequences, researchers have used advanced microscopy-based approaches that provide exquisite spatial and temporal resolution, but these methods are typically limited to measuring a few properties in parallel. On the other hand, next generation sequencing technologies allow for massively parallel genome-wide approaches but have, until recently, relied on studying population averages obtained from pooling thousands to millions of cells, precluding genome-wide analysis of cell-to-cell variability. Very excitingly, in the last few years there has been a revolution in single-cell sequencing technologies allowing genome-wide quantification of mRNA and genomic DNA in thousands of individual cells leading to the convergence of genomics and single-cell biology. However, during this convergence the spatial and temporal information, easily accessed by microscopy-based approaches, is often lost in a single-cell sequencing experiment. The overarching goal of this proposal is to develop single-cell sequencing technology that retains important aspects of the spatial-temporal information. In particular I will focus on integrating single-cell transcriptome and epigenome measurements with the physical cell-to-cell interaction network (spatial information) and lineage information (temporal information). These tools will be utilized to (i) explore the division symmetry of intestinal stem cells in vivo; (ii) to reconstruct the cell lineage history during zebrafish regeneration; and (iii) to determine lineage relations and the physical cell-to-cell interaction network of progenitor cells in the murine bone marrow.

Keywords: single cell sequencing,single cell genomics,single cell transcriptomics,single cell epigenetics
Cavity-mediated entanglement of trapped-ion qubit arrays for quantum information processing (photonicIons)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: Switzerland,United States
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-09-01
End date: 2023-10-12
Duration (months): 36.0
Total project cost (EUR): 265840.2
EU funding (EUR): 265840.2
Participants: 2
Project status: SIGNED

Long-coherence times, high-fidelity individual-ion control and entanglement-mediating Coulomb interactions make trapped-ion qubits a very attractive platform for quantum information processing (QIP). Entangling gates performed by coupling the internal states of ions in the same potential well via their shared motional mode have recently reached the high fidelities necessary for the implementation of quantum error correction protocols which can enable fault-tolerant QIP. However, scaling this type of gate up to long ion chains (>20 ions) is not feasible: large ion numbers lead to crowding of the motional mode spectrum of the chain, eventually preventing addressing of specific modes. Cavity-mediated ion-photon coupling is a promising avenue to scalability. Photons emitted into a shared cavity mode can be used as a quantum bus to entangle short ion arrays. If implemented between arrays of N ions, this photonic interface benefits from an N-fold enhancement of the ion-photon coupling. Strong collective coupling has been shown with neutral atoms and 3D ion crystals, but has not been performed in a system with individual-qubit control and Coulomb-mediated entanglement capabilities. Prof.Vuletic’s MIT group operates a multi-zone ion trap which holds several linear ion arrays (of up to 20 ions each) spaced along the trap axis and features an integrated macroscopic optical cavity. Cooperativity measurements indicate that the strong-coupling regime should be achievable with this apparatus for cavity-mediated entanglement of arrays as short as 5 ions in length. As an MSCA fellow, I will use this trap to pursue the first demonstration of cavity-mediated entanglement of two spatially separate ion arrays. Upon returning, I will join ETH's effort to integrate micro-machined cavities into ion traps and use them to demonstrate strong ion-cavity coupling in a scalable environment, an essential step in the drive to build large-scale photonically-interfaced quantum computers.

Keywords: cavity mediated ion photon coupling,remote entanglement,quantum information processing,trapped ion qubits,quantum networks,micro cavities,strong coupling regime of cavity quantum electrodynamics
Hydrodynamics of Ferromagnetic Nematic Liquid Crystals (MagNem)

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: Physics
Countries involved: Slovenia
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-10-01
End date: 2018-09-30
Duration (months): 24.0
Total project cost (EUR): 145287.6
EU funding (EUR): 145287.6
Participants: 1
Project status: CLOSED

Experimental realization of ferromagnetic ferrofluids has been a long standing challenge which was recently overcome by the ground-breaking research of A. Mertelj et al. at the Host group. They have successfully combined soft-matter and magnetic-particle physics to achieve ferromagnetic order in suspensions of magnetic platelets in nematic liquid crystals. These ferromagnetic liquid crystals present the first experimental realization of polar nematic liquids and have opened up the possibility of studying an exciting new set of fundamental, previously inaccessible physical phenomena. MagNem aims to shed light on the understanding of complex hydrodynamics of these smart materials, in which flow, magnetic and nematic orderings are coupled. For this purpose, we will develop a range of new materials by changing surfactant/solvent combination. These advanced functional composites will exhibit different elastic, magnetic and steric interparticle interactions, giving us a perfect opportunity to focus on how the parameters governing the hydrodynamics of the system depend on the microscopic picture. The conjunction of nematic and magnetic ordering makes these colloidal systems responsive to both electric and magnetic fields and thus perfect candidates for applications in electro-/magneto-optic devices and magneto-optical flow sensing microfluidics. We will develop methods for the determination of dynamic parameters by combining magnetic, electric and mechanical strain fields and will work in collaboration with expert theoretical physicists which will model the experimentally observed phenomena. Our work will generate a fundamental understanding of the complex dynamics of ferromagnetic nematic liquid crystals, providing the necessary knowledge for material-property tailored design based on solvent/particle/surfactant combination and will lead to new insights for applications in the field of magneto-optics and lab-on-a-chip microfluidics with improved magneto flow control.

Keywords: advanced functional composites,ferromagnetic nematics,colloidal suspensions,hydrodynamics of complex fluids,intelligent soft materials,self assembly
Tissue Resident Memory (Trm) CD8+ T cells: Genome-wide dissection of cellular differentiation and heterogeneity (SkinTrmDeep)

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: Life Sciences
Countries involved: Sweden
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-03-01
End date: 2021-02-28
Duration (months): 24.0
Total project cost (EUR): 173857.2
EU funding (EUR): 173857.2
Participants: 1
Project status: CLOSED

Tissue-resident memory (Trm) cells are non-circulating T lymphocytes of non-lymphoid tissues and organs that provide localized protection at barrier surfaces such as skin, gut and lungs. In human skin, Trm cells represent the predominant lymphocyte population, comprising subsets with different cytokine profiles and cytotoxic capacity. They represent an integral part of barrier immunity, mounting tailored responses to diverse pathogens, but potentially also eliciting immune pathology. Trm cell differentiation, effector mechanisms and cellular interactions remain poorly defined. I aim to decipher cytotoxic Trm cell biology in greater depth, unravelling the epigenetic framework of phenotypically and functionally distinct CD8+ Trm populations. I will rely on state-of-the-art methodologies at the host institution. Through unique collaborations and a multidisciplinary approach encompassing advanced flow cytometry, cell sorting and high-throughput sequencing, I propose to map genome-wide chromatin accessibility in skin and gut Trm cell subsets. Identification of regulatory elements critical for cell functions coupled with analyses of transcription factor binding promise to unravel the molecular mechanisms defining Trm cell ontogeny, function and tissue-specific imprinting. Moreover, with potential application to limited patient samples, single-cell RNA sequencing of cytokine-producing cells will provide a map of Trm cell heterogeneity with unprecedented resolution. This project will illuminate the role of the microenvironment in shaping tissue-resident memory, with ultimate goals to understand Trm cell-related diseases and determine common denominators required to establish tissue residency and provide basis for generating and shaping Trm cells in future cellular immunotherapies. Being at the forefront of the research on the epigenetic differentiation processes of lymphocytes, I am determined to build a strong basis for a future career as a young independent scientist.

Keywords: tissue resident memory cd8 t cells,skin,atac sequencing,single cell rna sequencing,flow cytometry,psoriasis,vitiligo
An API for Emotional Intelligence (Limbic)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: United Kingdom
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-12-01
End date: 2019-05-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Humans are social creatures. We think and communicate emotionally. However, artificial intelligence (AI) didn't get the memo. We're changing that. Limbic aims to be the cloud computing service for emotional intelligence. We're building an API platform that senses emotional state using signals from the user: facial expression, voice, text, and importantly, physiological signals from wearables. Our software development kit (SDK) is one line of code that sits inside client apps. The code detects which data sources are available (e.g. camera, microphone, text corpus, and wearable heart sensor) and our proprietary machine learning algorithms analyse these to return predictions on the user’s emotional state. Content recommendations for your current mood, personalised app notifications, mental health monitoring - Limbic is an enabling technology with applications across a range of sectors. The first version of our product is a cloud-hosted stress detection service. It is live and already being used by multiple iOS apps, continuously collecting heart data via the Apple Watch. Through this, we have amassed a proprietary database of people from around Europe (the largest of its kind and growing rapidly). In this Horizon 2020 project, we conduct a Feasibility Study that will provide the research and preparation required to launch Limbic in multiple new European and global markets. The proposed project will not only enhance Limbic’s growth, but also unlock the potential of countless more companies, including many SMEs.

Keywords: emotional intelligence,emotion recognition software,affective computing
Glutamate dynamics during visual stimulation and ketamine challenge in the human brain (GLU-IMAGE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Austria
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-07-01
End date: 2021-06-30
Duration (months): 24.0
Total project cost (EUR): 186167.04
EU funding (EUR): 186167.04
Participants: 1
Project status: CLOSED

While clinical experience confirmed ketamine, a glutamate (Glu) N-methyl-D-aspartate receptor antagonist, as a potent therapy of treatment-resistant major depressive disorder (TRD), the exact mechanism of ketamine’s action in the brain is unclear. Thus, a method to reliably and reproducibly monitor minute changes in Glu metabolism in the human brain is urgently needed to understand ketamine dynamics in vivo. So far, the pioneering work at the Medical University Vienna (MUW) showed ketamine-induced increase of vascular and metabolic responses measured as blood oxygenation level dependent (BOLD) signals in healthy subjects in thalamus, insula and anterior cingulate cortex (ACC), while others observed elevated glucose uptake using positron emission tomography, suggesting higher energetic demands and Glu response after ketamine infusion. Yet, a reliable and non-invasive method for direct monitoring of pharmacologically-induced dynamic Glu changes is still missing. Our group at MUW has recently developed a novel ground-breaking accelerated method for ultra-short echo time MRS imaging (UTE-MRSI) providing optimal Glu measures with critical sensitivity improvements compared to conventional proton single-voxel MRS (SV-MRS) and previously utilized MRSI approaches. Our method allows monitoring of Glu responses selectively in activated voxels and overcomes low spatial resolution, and limited coverage of SV-MRS that is the current gold standard for measurement of Glu concentrations and its dynamic changes in vivo (functional SV-MRS). The further improvement of UTE-MRSI by the implementation of the novel real-time motion correction will boost its applicability in clinical human studies. Thus, our UTE-MRSI will offer image-based multi-slice measurements of baseline Glu concentrations and its responses to ketamine administration with the potential to clarify ketamine’s mechanism of action in patients with TRD, and will allow monitoring of other novel glutamatergic therapies.

Keywords: ultrahigh field neuroimaging,magnetic resonance spectroscopic imaging,magnetic resonance spectroscopy,glutamate,functional spectroscopy,visual stimulation,ketamine,depression
Extracellular Vesicle-Internalizing Receptors (EVIRs) for Cancer ImmunoGeneTherapy (EVOLVE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Prevention, Diagnosis and Treatment of Human Diseases
Panel description: Medical technologies and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions, pharmacology, preventative medicine, epidemiology and public health, digital medicine
Countries involved: Switzerland
Call: ERC Consolidator Grant (ERC-2016-COG, 2016)
Start date: 2017-07-01
End date: 2022-12-31
Duration (months): 66.0
Total project cost (EUR): 1958919.0
EU funding (EUR): 1958919.0
Participants: 1
Project status: CLOSED

We are witnessing transformative results in the clinical application of both cancer immunotherapies and gene transfer technologies. Tumor vaccines are a specific modality of cancer immunotherapy. Similar to vaccination against pathogens, tumor vaccines are designed to elicit a specific immune response against cancer. They are based on the administration of inactivated cancer cells or tumor antigens, or the inoculation of antigen-presenting cells (APCs) previously exposed to tumor antigens. In spite of significant development and testing, tumor vaccines have largely delivered unsatisfactory clinical results. Indeed, while some patients show dramatic and durable cancer regressions, many do not respond, highlighting both the potential and the shortcomings of current vaccination strategies. Hence, identifying and abating the barriers to effective cancer vaccines is key to broadening their therapeutic reach. The goal of EVOLVE (EVirs to Optimize and Leverage Vaccines for cancer Eradication) is to propel the development of effective APC-based tumor vaccines using an innovative strategy that overcomes several key hurdles associated with available treatments. EVOLVE puts forward a novel APC engineering platform whereby chimeric receptors are used to both enable the specific and efficient uptake of cancer-derived extracellular vesicles (EVs) into APCs, and to promote the cross-presentation of EV-associated tumor antigens for stimulating anti-tumor immunity. EVOLVE also envisions a combination of ancillary ‘outside of the box’ interventions, primarily based on further APC engineering combined with innovative pre-conditioning of the tumor microenvironment, to facilitate the deployment of effective APC-driven, T-cellmediated anti-tumor immunity. Further to preclinical trials in mouse models of breast cancer and melanoma, our APC platform will be used to prospectively identify novel human melanoma antigens and reactive T cell clones for broader immunotherapy applications.
Scan2CAD: Learning to Digitize the Real World (Scan2CAD)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Germany
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-01-01
End date: 2024-12-31
Duration (months): 72.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

One of the most fundamental challenges in the digital age is to automatically create accurate, high-quality 3D representations of the world around us. This would have far-reaching impact, from enabling advances entertainment and immersive technologies (e.g., mixed reality) to medical applications and industrial manufacturing pipelines. Despite remarkable progress in scanning devices and 3D reconstruction algorithms, the resulting models remain highly impractical for display or use in virtual environments. This is due to the limited quality of these reconstructed 3D models, which is still far from the quality of assets designed by professional artists in countless of working hours. We believe that the key to addressing these shortcomings is understanding the design process of artist-created assets. We can then learn the correlation to real-world observations and replicate the process conditioned on these real-world input scans. In this proposal, we will answer the question "How can we turn 3D scans into CAD-quality 3D assets?".