Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Efficient Verification of Quantum computing architectures with Bosons (VERIQUB - Hop-on)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Destination: Improved access to Excellence
Action type: Research and Innovation actions
Countries involved: France,Portugal
Call: Hop on Facility (HORIZON-WIDERA-2023-ACCESS-06, 2023)
Duration (months): 48.0
Total project cost (EUR): 491566.25
EU funding (EUR): 491566.25
Participants: 2
Project status: CLOSED

Quantum devices offer great promise for computation, cryptography, communication, and sensing. Alternative approaches to quantum information processing in which bosonic modes are the carriers of information have attracted increasing attention, because they offer a hardware-efficient path to fault-tolerance and scalability thanks to their inherently large Hilbert space. However, this poses the problem of providing rigorous guarantees of the correct functioning of these promising bosonic architectures, a task known as quantum verification. To date, this verification is performed by general-purpose tomographic techniques, which rapidly become intractable for large quantum systems. Thus, other methods are needed as quantum devices are scaled up to achieve real-world advantages. Veriqub aims to develop a new approach to the efficient verification of quantum computing architectures with bosons, using continuous-variable measurements.

Keywords: quantum technologies quantum verification and certification bosonic quantum computing circuit qed quantum optics quantum resource theory continuous variable quantum information
Unravelling Tumour Biology In Ovarian Cancer With Precision Imaging (MR O MICS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Prevention,  Diagnosis and T reatment 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: France
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-09-01
End date: 2028-08-31
Duration (months): 60.0
Total project cost (EUR): 1474150.0
EU funding (EUR): 1474150.0
Participants: 2
Project status: SIGNED

High-grade serous ovarian cancer (HGSOC) is the most common subtype of ovarian cancer. The early rapid onset of chemoresistance poses a major clinical challenge. Recent research highlighted high tumor heterogeneity (TH) and identified key mutational signatures that associate with prognosis and may aid in individualized treatment selection. Since HGSOC often presents with multisite disease and distinct populations of malignant cells, multi-region analysis of multimodal data is essential to study HGSOC. Single time point, single site biopsies cannot assess entire tumor while multiple biopsies at several time points are not feasible in clinical routine. Limitations of invasive sampling may be addressed with non-invasive imaging that captures morphologic and functional information about the entire tumor in space and, if repeated, in time. Radiomics has the potential for “whole tumour virtual sampling” using a single or serial non-invasive examinations in place of biopsies. To date, no study has evaluated the value of radiomics at macroscopic (in vivo 1.5T/3TMRI) and microscopic (ex vivo 9.4TMRI) scales to better understand the black box of radiomics features (explainable radiomics) or examine whether radiomics habitats are underpinned by tumour biology to provide a better insight into TH of HGSOC. Specifically, in this project, I will implement a model to capture imaging-based TH with multiscale radiomics approach by obtaining the mirror tumor image at in vivo MRI, ex vivo MRI and at histology. I will evaluate if imaging-based TH reflects underlying tumor histology by testing associations with imaging features and tumor-stroma proportion, infiltrative lymphocytes density and HRD status. Finally, I will unravel HGSOC TH biology through habitat imaging combined to an integrated Multi-O-Mics approach. Successful completion of this proposal will lead to a comprehensive characterization of HGSOC TH which will be then accessible non-invasively through radiomics.

Keywords: mri,radiomics,ovarian cancer,genomics,proteomics,immune tumor microenvironment,tumor habitat
Two-dimensional acquisition for top-down native mass spectrometry of non-covalent protein complexes. (2D-TOPMASS)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Attracting and mobilising the best talents
Destination: Attracting and mobilising the best talents
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Czechia
Call: Fostering balanced brain circulation – ERA Fellowships (HORIZON-WIDERA-2022-TALENTS-02, 2022)
Start date: 2023-07-01
End date: 2025-06-30
Duration (months): 24.0
Total project cost (EUR): 166278.72
EU funding (EUR): 166278.72
Participants: 1
Project status: CLOSED

Native mass spectrometry (MS) is a powerful structural biology tool to study protein complexes, their dynamics, assembly and function. In its so-called top-down approach, it aims to link specific proteoforms to higher assemblies such as non-covalent complexes, in which they function naturally and/or in a disease. The proposed project will leverage the power and versatility offered by state-of-the-art Fourier transform ion cyclotron resonance (FTICR) mass spectrometry coupled to ultraviolet and infrared laser ion activation techniques to advance native top-down MS of large protein- and protein / nucleic acid complexes. Studying a range of protein complexes up to small viral capsids, the project will push the boundaries of FTICR MS in the analysis of high-mass protein complex samples. Utilizing both standard commercially available protein complexes for method setup and benchmarking as well as biologically-relevant FOXO, TEAD and nucleosome protein / DNA complexes from the host laboratory, advanced laser- and electron-induced dissociation and fragmentation techniques and their combinations will be tested to obtain the best possible information on multiple levels of the complexes’ structure. Finally, the hitherto untried combination of native MS of non-covalent protein complexes with two-dimensional MS acquisition schemes will be explored to probe all species in a heterogeneous mixture at the same time. Linking the obtained sequential information on proteoforms to their complex and subcomplex stoichiometry, this approach will help increase the utility of native MS as a powerful technique for the study of proteoforms and protein assemblies applicable to a broad range of biologically / medically relevant samples promoting and reinforcing the position of native MS in the modern integrative structural biology portfolio as a technique providing information complementary to (and difficult to access by) classical high-resolution approaches.

Keywords: native mass spectrometry structural mass spectrometry integrative structural biology
A prototype system for obtaining and managing training data for multilingual learning (Data4ML)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Germany
Call: ERC PROOF OF CONCEPT GRANTS2 (ERC-2022-POC2, 2022)
Start date: 2023-10-01
End date: 2025-09-30
Duration (months): 24.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 2
Project status: SIGNED

It is difficult to build high quality machine translation systems for less-resourced languages, such as the minority languages of Europe. State-of-the-art machine translation is trained on large parallel corpora, texts and their translations. But such corpora are not available for less-resourced languages. We will provide a system for the rapid and inexpensive creation of new parallel corpora. Our PoC project will both produce an open-source prototype utilizing findings from the PI's ERC StG, and determine IPR and future funding. The key innovation of the prototype will be that it can be used by the less-resourced language community themselves. Current systems require extensive background in natural language processing. Allowing the community to create and curate parallel data has clear social benefits. The creation of high quality machine translation systems for less-resourced languages will allow for more content creation in these languages, playing a strong role in the preservation of these languages. Curated parallel data will also be useful in activities such as education and cultural heritage research. Government funding is available for digital language preservation for many of the 7000 languages spoken on Earth. Companies with online translation systems such as Google and DeepL/Linguee are not addressing this market, as the ROI is too low. It makes more sense to empower local communities to create such parallel data. We will carefully evaluate our prototype to ensure that it meets their needs. Along with the creation of the prototype, we will determine how best to structure the IPR to support future development. Consulting, which we have already carried out for the Sorbian community, and a certification scheme for users of our system are two possibilities we will consider, along with commercial machine translation and multilingual classification problems such as hate speech detection.
Haptic Texts: Connecting through Media in the Eighteenth Century (HAPTEXT)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: United Kingdom
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-10-01
End date: 2027-09-30
Duration (months): 24.0
Total project cost (EUR): 260347.92
EU funding (EUR): 260347.92
Participants: 1
Project status: SIGNED

The project, HAPTEXT, examines how periodicals - texts printed at routine intervals - circulated to create the first age of 'viral' media in the eighteenth century. Within the anglophone world, periodicals have long been recognised as a vital source of information on political, social and economic matters in a period heralded as the Age of Enlightenment. Yet periodicals are yet to be fully integrated into cultural studies of the eighteenth century and there has been no systematic study of how information circulated across titles to reach wider audiences, or how readers actively responded to public papers by annotating the printed page or writing letters for publication. The project objectives are to: 1. Establish a new methodology for periodical studies that reveals how individual readers interacted with periodicals 2. Demonstrate how content escaped the control of its authors, being remediated and transmediated to reach new audiences 3. Reveal how radical ideas circulated between publications and between readers via the periodical 4. Build the first bibliographic database dedicated to locating periodical publications Using close textual analysis, computational history and corpus linguistics, HAPTEXT reveals how interactions with and upon the printed page intersected with literary endeavour to produce ‘viral’ media. The anglophone context provides a rich cache of material for study, revealing the changing priorities and anxieties of an island nation in an increased age of globalisation and period of colonial wars (American and French Revolution, Napoleonic War). Through this Fellowship, the researcher, Dr Jennifer Buckley, will develop the training, high-impact dissemination, and experience commensurate with a leading researcher of her career stage. The researcher will be based in the School of Critical Studies, University of Glasgow, and supervised by Prof. Matthew Sangster, a leading expert in Book History, authorship and Digital Humanities.

Keywords: eighteenth century studies book history digital humanities material culture
Real-time optimal control of wind-farm atmosphere interaction (REALTOWIND)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced 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: Belgium
Call: ERC ADVANCED GRANTS (ERC-2024-ADG, 2024)
Start date: 2025-10-01
End date: 2030-09-30
Duration (months): 60.0
Total project cost (EUR): 2458280.0
EU funding (EUR): 2458280.0
Participants: 1
Project status: SIGNED

Current Wind-Farm flow Control (WFC) focuses on the interaction of wind turbines through their wakes, and relies on fast heuristic wake models that are mostly considered in an open-loop control framework. However, modern wind farms interact with the atmosphere at much larger scales, such, e.g., as their excitation of atmospheric gravity waves. WFC response is thereby not only governed by intra-farm turbine wakes, but possibly even more by the interaction between the larger atmospheric mesoscales and the farm operation. The only models that realistically capture these aspects down to the wake scale are large-eddy simulations (LES), which are generally run on high-performance computers, yet considered orders of magnitude too slow for use in real-time model predictive control. Recently however, we have shown that coarse-grid LES integrated in a time-decoupled model predictive control (TDMPC) framework, is about a factor three too slow only for real-time use, while potentially still being effective at realizing the WFC objective. With wind turbines being the largest manmade “flow actuators” existing today, and smaller-sized systems exhibiting faster time scales, the wind farm will be the first turbulent flow system in which LES can be used as a real-time control model. We aim at inducing a paradigm shift in the use of LES, by developing a first fully integrated LES-based TDMPC and demonstrate it in a high-fidelity emulator environment, as well as, in part, using field data. This raises following fundamental research challenges: diverging sensitivities of perturbations in turbulent flows (chaotic systems) over long time horizons, the sparse nature of measurements in the atmosphere required for state estimation in the control loop, the limited understanding of wind-farm atmosphere interaction in non-neutral stratification, and the efficient emulation of WFC using high-performance computing. My pioneering work in these fields will enable us to tackle these challenges.

Keywords: wind farm control wind energy flow control optimal control large eddy simulation
Harnessing Rubisco oxygenation reaction for advancing sustainable biotechnology (ROAD)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Denmark
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-05-01
End date: 2025-04-30
Duration (months): 24.0
Total project cost (EUR): 228552.4
EU funding (EUR): 228552.4
Participants: 1
Project status: CLOSED

Establishing a bio-based economy requires the development of novel biorefineries, where bacterial cell factories are employed for producing added-value compounds from cheap, renewable substrates. CO2 is the ideal feedstock, being the most abundant and virtually unlimited carbon-source on Earth. Novel, highly promising biorefineries aim to utilize genetically engineered bacteria to convert renewable energies and atmospheric CO2 into fuels and chemicals. The enzyme Ribulose-1,5-bisphosphate carboxylase/oxygenase (Rubisco) is the main responsible of CO2 fixation in the biosphere via the Calvin-Benson-Bassham cycle. Despite its wide distribution in the tree of Life, Rubisco is a rather inaccurate enzyme, presenting a tendency to perform an oxygenation side-reaction which results in the formation of 2-phosphoglycolate (2PG). While re-assimilation of 2PG in central metabolism results in net CO2 loss, it can serve as a precursor of glycolate, an attractive, versatile platform chemical. Here, I propose to exploit the sloppiness of Rubisco to implement a novel biorefinery for glycolate production from CO2. Ultimately, I aim to demonstrate feasible microbial synthesis glycolate, where engineered bacterial platforms synthesize this molecule directly from CO2 (as carbon source) and renewable H2 or formate (as energy source). This overarching goal will be pursued through three different, complementary objectives, including: in vivo screening of new, recently described Rubisco isoforms via ad hoc designed 'selection strain'; in vivo directed evolution of the best performing Rubisco isoforms for improving the inherent oxygenation activity; engineering of natural (Cupriavidus necator) and synthetic (Escherichia coli) bacteria autotrophs as cell factories for this process, which will be tested in gas-controlled lab-scale reactors. Eventually, such a novel biorefinery concept will open unprecedented possibilities for the use of CO2 as feedstock for a true biobased economy.

Keywords: metabolic engineering,synthetic biology,biosensors,rubisco,co2 fixation,bioeconomy
Using super-resolved in situ sequencing to reveal the cellular encoding of immune-tumour contact events (TouchCancer)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Prevention,  Diagnosis and T reatment 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: Israel
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2023-09-01
End date: 2028-08-31
Duration (months): 60.0
Total project cost (EUR): 2124896.0
EU funding (EUR): 2124896.0
Participants: 1
Project status: SIGNED

Despite the constant surveillance of immune cells, tumour cells can still evade the immune response. Unravelling the interactions of T cells and B cells with tumour cells can shed light on tumour evasion. Extensive research is focused on the mechanisms of activation of an immune response in T cells. However, it is known that detection events, i.e., physical contact between individual surveying T cells and tumour cells, don’t necessarily lead to such activation. Little is known about physical interactions between T cells and tumour cells that do not end in activation. Here I suggest focusing on these detection-without activation events. In these cases, how is the detection information encoded in T cells? i.e., How are T cells and other immune cells affected by the interaction with tumour cells on the molecular level?. My working assumption is that the evading mechanism can be manifested as a physical change in immune cells upon touching tumour cells, and I suggest detecting the ‘smoking gun’ of this process in biopsies, in the form of changes in the gene expression program of touching immune cells. This was not done before because it is almost impossible to study single interacting cells in tumour tissues. It requires both high spatial resolution, to detect individually interacting cells, and high molecular resolution, to quantify cell types and states. Here, using a technology I developed for in situ sequencing with super-resolution, I will generate the first dataset of super-resolved spatial genomics mapping of human biopsies and detect tens of thousands of individual interactions between physically touching immune and tumour cell types. I will then build a new imaging technology to sequence T cell and B cell receptor in situ and detect tumour-specific ones, and will build a computational framework to detect genes and pathways involved in the immune-tumour crosstalk. This will reveal mechanistic insights into tumour evasion and suggest directions for its reversion.

Keywords: spatial genomics,imaging,biotechnology,bioinformatics,cancer biology,immunology
Advanced technologies for scanning and detection of illicit material for postal services and express courier flows (iFlows Toolkit) (iFLOWS)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Civil Security for Society
Theme: Civil Security for Society
Destination: Border Management
Action type: Research and Innovation actions
Countries involved: Austria,Italy,Portugal,Germany,Sweden,Greece,France,Serbia,Switzerland,Belgium
Call: Advanced detection of threats and illicit goods in postal and express courier flows (HORIZON-CL3-2021-BM-01, 2021)
Start date: 2022-11-01
End date: 2026-01-31
Duration (months): 39.0
Total project cost (EUR): 3998125.0
EU funding (EUR): 3998125.0
Participants: 17
Project status: SIGNED

Preventing and fighting illicit material and dangerous substances postal and courier services flows in EU areas is of top priority. However, ensuring efficiency, speed and continuity in screening and detection tasks remains yet a challenge. Currently, custom, police and courier authorities involve a range of screening systems in place but there is still much to do in terms of detection efficacy and creation of intelligence towards risk and threat identification. On top of that, criminals or smugglers exploit the multitude of flows and easily spot security gaps that allow parcels or letters to be transported within or across EU with relative ease. To overcome these constraints, iFLOWS proposes a unique approach to assist customs, police and postal/courier services in preventing and detecting such crimes by improving operational readiness, enhancing situation awareness, reducing detection time, providing operational efficiency and achieving superior mission performance. iFLOWS will design, develop, integrate, test and validate a novel multi-tier synergistic Toolkit in enhancing intelligence extraction, screening and detection operations of illicit material and hazardous substances within courier and postal flows moving across and within EU borders. iFLOWS works upon these 3 building blocks to deliver a) a tailored to such operations C4I that boosts preparedness and cooperation be-tween police, customs and courier/postal services, b) enhanced Intelligence in terms of threats, risks and suspicious flows and c) novel detection technologies (i.e. THz Scanning system and UWB Scanner) featuring enhanced detection capabilities over a large span of illicit material and substances, which, coupled with advanced image-based feature extraction in combination to legacy systems (e.g. X-Ray and Raman) optimise the detection process without interrupting the postal/courier flows.

Keywords: qcl based thz scanner,plasmonic structure detector,ai enabled risk threat intelligence,c4i,uwb scanner,computer vision,illicit goodsanddangerous substances detection,counterfeit id,cash detection