Data-Gouv-ML/pcri-actions-marie-curie-participations-et-projets-laureats huggingface dataset:
Projet DECODE (Horizon 2020, appel à projets 2020)
Action : Doctoral Networks
Panel : Information Science and Engineering
Statut du projet : SIGNED

DECODE will focus on the training of young scientists on the use of drug-eluting devices to combat the burden of peripheral artery disease (PAD). DECODE will provide young researchers with excellent scientific, technological and complementary skills through a multidisciplinary training programme having as an outmost scientific aim the development, optimization, and assessment of a drug eluting balloon system for the improved treatment of PAD. The aim of DECODE is twofold: a) to enhance the competitiveness and research careers of young researchers at European level as after the completion of the programme they will be able to face current and future challenges on the domain of biomedical engineering, b) to convert knowledge, ideas and expertise from both the academic and non-academic sectors into a novel product which will improve the monitoring and treatment of patients suffering from PAD and their quality of life, providing thus a significant economic and social benefit.

Mots clés : training activities, drug coating balloons, animal study, in vitro analysis, computational modelling, cloud platform design and integration, vr and ar visualizations

Participants :
- Istrazivacko razvojni centar za bioinzenjering bioirc doo (Serbie) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 653476.68 €
- Medapp spolka akcyjna (Pologne) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 454957.2 €
- Université de Montpellier (France) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 274802.04 €
- University of Patras (Grèce) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 243017.64 €
- University of Ioannina (Grèce) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 486035.28 €
- Politecnico di Milano (Italie) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 784499.04 €
- National and Kapodistrian University of Athens (Grèce) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 715551.94 €
Projet DeepTrees (Horizon 2020, appel à projets 2014)
Action : Postdoctoral Fellowships - Global Fellowships
Panel : Environment and Geosciences
Statut du projet : CLOSED

DEEPTREES will unite disciplines across life sciences, to use DNA barcoding to put error bars on the fossil record. A major challenge remains to unlock the data from past mass extinction events in earth’s history to help prepare us for the future. This is only possible by combining the cutting edge work of the University of California Museum of Paleontology and Centre for Computational Biology with the unique approach of integrating fossil and living deep-sea biodiversity in Sigwart’s established research programme. The hosts will provide intensive training for Sigwart in computation modelling to investigate evolutionary dynamics during and after the ancient mass extinction events that are the only basis for understanding our current global biodiversity crisis. The patchy nature of the fossil record in space and time means that our knowledge of past extinction dynamics is estimated, usually from counting the first and last appearance of species-groups. It has been impossible to know how much diversity is contained within each group, or how comparable they are, until now. DEEPTREES will focus on marine invertebrates that have persisted through past mass extinction events: the survivors, found in large density in natural deep sea communities on organic substrata, using samples already secured for this project. Morphological and genetic features that separate living species will be quantified to develop a Bayesian framework to determine how many species cannot be counted because their defining features were not preserved. A novel modelling approach developed by Sigwart with input from Berkeley colleagues will integrate all these new data to calculate the hidden diversity in past extinction rates, bridging the gap between fossil and living species. DEEPTREE‘s new tools for quantifying diversity will revolutionise biodiversity assessments, with special relevance for the Marine Strategy Framework Directive, and may change the way we think about extinction forever.

Mots clés : deep sea, woodfall, mass extinction, taxonomic mesocosm, cryptic species, taxonomic surrogacy

Participants :
- University of California System (Etats-Unis) — Partner, organization partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Queen's University Belfast (Royaume-Uni) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 251857.8 €
Projet qCHROMDEK (Horizon 2020, appel à projets 2018)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Life Sciences
Statut du projet : CLOSED

DEK protein is a chromatin architectural factor which has been consistently associated with tumour progression. Its expression level differs between normal and cancer cells, raising the possibility of using DEK as a tumour marker. On the other hand, super-resolution imaging revealed recently that nucleosomes can form discrete groups called "clutches" of various dimensions and densities. However, the quantitative analysis of the connection between proteins playing chromatin architectural role and nucleosome clutches has not been yet deciphered. Within this project, I hypothesize that there is a correlation between the organisation of DEK oncoprotein and the local chromatin structure related to the proliferation level of cells. The overall aim of the proposed work is to provide a more precise, quantitative understanding of possible connection between DEK expression level and local chromatin structures and by that to gain the additional information about DEK role in cancer. This project will take advantage of cutting-edge biophysical tool such as DNA origami, single-molecule localisation microscopy and cellular biology. Experimental design is based on the construction and application of a bi-dimentional DNA origami to calibrate and mimic subnuclear structures. The quantitative approach will rely on STochastic Optical Reconstruction Microscopy (STORM). This study will be done using normal cells with different level of proliferation and cancer cells with different level of malignancy. Finding the relation between DEK expression, connected to the proliferation level of normal and cancer cells, and the number of nucleosomes per clutch could improve the comprehension of chromatin organisation role in different levels of tumorigenesis. Quantitative insight to the number of nucleosomes per clutch in relation to the level of cell proliferation could be in the future an input for a precise recognition of cancer in the early stage of tumorigenesis.

Mots clés : super resolution microscopy, dek protein, chromatin organisation, nucleosomes, oncoprotein

Participants :
- Italian Institute of Technology (Italie) — Coordinator, beneficiary, Recherche, subvention : 171473.28 €
Projet DesProtDNA (Horizon 2020, appel à projets 2016)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Chemistry
Statut du projet : CLOSED

DNA compresses in the cell by forming nucleosome particles, which diminish the accessibility of transcription factors to DNA and provide fine regulatory mechanisms for gene expression and replication. Some proteins can still bind the exposed face of nucleosomal DNA and are known to promote cancer or viral infection, and strategies to block such binding events are promising for developing new epigenetic-like therapies. However, structural information on proteins binding nucleosomal DNA is too limited for the rational design of new drugs. The current proposal aims to combine expertise of the researcher (on protein design) and the host group (on DNA and protein-DNA interactions) to computationally design and experimentally test proteins binding nucleosomal DNA with specificity. The researcher will first develop a computational design protocol and subsequently test it against nucleosomes of known structure. After experimental validation, he will design proteins blocking the nucleosomal DNA sites targeted by two proteins (FoxA1 and GATA) known to promote breast and prostate cancer. The proposed project uses computational approaches for designing protein structures and protein-DNA interactions, and experimental approaches to characterize protein-DNA binding and structure of the designed complexes. This multidisciplinary project is devised to expand the design capabilities of the researcher towards protein-DNA interactions, which hold great potential for medical and biotechnological applications, in a research context of high biomedical impact. This project devises a training plan on computational, experimental and transferable skills necessary for an independent research position, and provides an opportunity to bring protein design approaches into the European research. The novelty of this protein-DNA design approach will be of wide interest for the scientific and non-scientific communities, and will be disseminated accordingly.

Mots clés : protein design, docking, nucleosome, protein dna, nucleosomal dna, cancer, drug design, rosetta, molecular dynamics, anti cancer protein, binding specificity

Participants :
- Institute for Research in Biomedicine (Espagne) — Coordinator, beneficiary, Recherche, subvention : 170121.6 €
Projet LUMIMOF (Horizon 2020, appel à projets 2019)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Chemistry
Statut du projet : CLOSED

Data security and counterfeiting of valuable documents, products, or currency is a global problem that challenges industry, governments and customers. On the other hand, information technology plays a paramount role in our society. In this context, the demand for new materials able to improve over the conventional materials used for these applications has increased considerably. The project LUMIMOF aims at developing novel luminescent metal-organic frameworks (MOFs) at the nanometer level (nano-MOFs) to be used in anti-counterfeiting applications and in logic computing gates. The tuneable nature of MOFs through rational design allows for new materials, which can be judiciously tailored toward a variety of applications. Specifically, lanthanide-based metal organic frameworks (LnMOFs) are excellent candidates for this project because of the exceptional luminescence properties of Ln3+ ions. Additionally, I will develop LnMOFs printing techniques, in order to use these materials as luminescent security inks and as logic computing gates. LUMIMOF will provide knowledge on methodology to obtain nano-LnMOFs as well as, on the luminescence properties of these MOFs in order to synthesize materials with useful applications for industry and society.

Mots clés : luminescence

Participants :
- University of Aveiro (Portugal) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 147815.04 €
Projet RNA-Rep (Horizon 2020, appel à projets 2018)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Chemistry
Statut du projet : CLOSED

Deciphering how nucleic acids replicated in the absence of genetically encoded enzymes is of critical importance to understanding the onset of Darwinian evolution. While much effort has been put into developing chemically-driven copying of RNA exploiting activated monomers, many unsolved issues stand in the way of achieving repeated cycles of non-enzymatic RNA replication. Non-enzymatic copying of a template strand results in the formation of an RNA duplex, which must then be denatured in order for subsequent rounds of replication to take place. Although RNA strands can be separated by heating, re-annealing kinetically outcompetes slow non-enzymatic copying, thus inhibiting RNA amplification. One unexplored solution to this problem is to physically separate melted strands of RNA so that re-annealing is not possible. Since all known living systems exploit lipid membranes, we propose to investigate whether protocellular compartments can facilitate the emergence of simplistic chemical systems that amplify RNA. Specifically, high temperatures are known to induce both RNA strand separation and bilayer defects, ultimately allowing for the partial leakage of RNA. If the transition temperature of the lipid membrane is higher than the melting temperature of the RNA, then subsequent slow cooling would recover the original impermeability of the membrane and give rise to a fraction of protocellular structures containing stochastic numbers of single RNA strands. At this stage, feeding with permeable activated short (oligo)nucleotides would lead to renewed copying of RNA. This highly original and multidisciplinary project combines the strength of organic and supramolecular chemistry to optimise prebiotic compartments with the power of in situ non-enzymatic RNA biochemistry to yield a project of excellent, innovative science that will exploit my expertise in protocellular systems while providing me extensive training in organic synthesis, chemical biology and biophysics.

Mots clés : prebiotic chemistry, origin of life, protocell, non enzymatic rna replication, systems chemistry

Participants :
- UK Research and Innovation (Royaume-Uni) — Coordinator, beneficiary, Recherche, subvention : 224933.76 €
Projet Meta_Mind (Horizon 2020, appel à projets 2015)
Action : Postdoctoral Fellowships - Global Fellowships
Panel : Social Sciences and Humanities
Statut du projet : CLOSED

Decision-making is one of the most fundamental parts of our daily life. Undoubtedly, when having to select a course of action reflective monitoring and control of our decision process (metacognition) is of crucial importance. For instance, when a doctor has to make a medical decision, information from different sources are being accrued and combined to form a diagnosis (e.g., information from MRI images and from the anamnesis), but when a doctor is uncertain about the quality of the decision additional tests can be considered. Despite the importance of effective decision-making in all aspects of life, it’s currently unclear how our metacognitive system operates and how common factors such as sleepiness and tiredness, well known to induce fragmentation of cognition, influence our metacognitive abilities. In sum, at the moment it remains unclear how and when we are capable of knowing that we know and knowing how we perform. In this proposal, I will outline an innovative research program that investigates the psychological and neural mechanisms of metacognition, thereby intersecting the relationship between cognition, consciousness and wakefulness. I will combine computational modeling, state-of-the-art methods from neuroscience and experimental designs from cognitive psychology and sleep research, thus optimally exploiting and expanding my scientific expertise. Moreover, I will reveal how our metacognitive capabilities are affected by sleepiness, providing valuable practical input for modern societal challenges related to tiredness while working or driving.

Mots clés : metacognition, consciousness, decision making

Participants :
- University of California System (Etats-Unis) — Partner, organization partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- University of Cambridge (Royaume-Uni) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 269857.8 €
- City University of New York (Etats-Unis) — Partner, organization partner, Autres, subvention : 0.0 €
Projet IMAGINE (Horizon 2020, appel à projets 2018)
Action : Postdoctoral Fellowships - Global Fellowships
Panel : Information Science and Engineering
Statut du projet : CLOSED

Deep neural networks have caused lasting change in the fields of natural language processing and computer vision. More recently, much effort has been directed towards devising machine learning models that bridge the gap between vision and language (V&L). In IMAGINE, I propose to lead this even further and to integrate world knowledge into natural language generation models of V&L. Such knowledge is easily taken for granted and is necessary to perform even simple human-like reasoning tasks. For example, in order to properly answer the question “What are the children doing?” about an image which shows parents with children playing in a park, a model should be able to (a) tell children from parents (e.g. children are considerably shorter), and infer that (b) because they are in a park, laughing, and with other children, they are very likely playing. Much of this knowledge is presently available in large-scale machine-friendly multi-modal knowledge bases (KBs) and I will leverage these to improve multiple natural language generation (NLG) tasks that require human-like reasoning abilities. I will investigate (i) methods to learn representations for KBs that incorporate text and images, as well as (ii) methods to incorporate these KB representations to improve multiple NLG tasks that reason upon V&L. In (i) I will research how to train a model that learns KB representations (e.g. learning that children are young adults and likely do not work) jointly with the component that understands the image content (e.g. identifies people, animals, objects and events in an image). In (ii) I will investigate how to jointly train NLG models for multiple tasks together with the KB entity linking, so that these models benefit from one another by sharing parameters (e.g. a model that answers questions about an image benefits from the training data of a model that describes the contents of an image), and also benefit from the world knowledge representations in the KB.

Mots clés : natural language generation, multi modal natural language generation, integrating vision and language, grounded models of vision and language, multi task learning, graph neural networks

Participants :
- New York University (Etats-Unis) — Partner, organization partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- University of Amsterdam (Pays-Bas) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 232393.92 €
Projet MARIPOSAS (Horizon 2020, appel à projets 2015)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Environment and Geosciences
Statut du projet : CLOSED

Delving into the factors and processes driving biodiversity is essential to understand the potential consequences of environmental changes in species-rich and vulnerable ecosystems. MARIPOSAS (Macroevolutionary Rates by Integrating Phylogenomics and Ancestral character States – Mariposas is also the Spanish translation for butterflies) aims to unveil the macroevolutionary mechanisms governing diversification and geographical distribution of two butterfly families, Hesperiidae and Nymphalidae, across tropical America's biomes. Through a multidisciplinary approach that integrates genomics, ecology, biogeography, palaeoenvironmental reconstructions and advanced bioinformatics, this project will disentangle the components of insect evolution in tropical environments. The research is (1) timely, since the tempo and mode of arthropod radiation in the Neotropics remains largely unexplored at high taxonomic levels, (2) original, as it aims to establish a novel direction in insect macroevolutionary research applying state-of-the-art methods (e.g., high-throughput sequencing) to study tropical biodiversity dynamics, and (3) innovative, by studying insect evolution in a multi-layer approach that will allow to comprehensively understand the ecological and evolutionary processes driving Neotropical insect diversity. The project will be enriched and highly benefited by merging my solid background in tropical insect diversification with the outstanding expertise in Neotropical biogeography and biodiversity dynamics at Prof. Alexandre Antonelli's research group (University of Gothenburg). This post-doc will ensure the best possible career opportunities for me as I will receive substantial training in cutting-edge approaches, largely expand my collaborative network, and gain the fundaments for becoming a mature, independent researcher within the topic of insect evolution.


Participants :
- University of Gothenburg (Suède) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 185857.2 €
Projet SMARTELECTRODES (Horizon 2020, appel à projets 2017)
Action : Staff Exchanges
Panel : Chemistry
Statut du projet : SIGNED

Demand of “smart” electrodes/systems has recently increased due to significant role of various devices/equipment based on these electrodes - urgent needs of present and forthcoming human activities. The multi- and interdisciplinary project SMARTELECTRODES is proposing elaboration of advanced systems covered under umbrella of “smart” electrodes which will be involved and play significant roles in several important electrochemical/electrophysical applications as catalysis/electrocatalysis, sensoring, thermoelectrics, electrowinning, electrochemical machining and electrospark alloying. The development of multiscaled (from nano- to macro-; from nanodot to volumized 3D-) metallic and semiconductor electrodes and integration of them into working systems/equipment is the main target of SMARTELECTRODES. The project is well-balanced, highly innovative R&D training network, which aims: To develop long lasting collaborations between four academic (Vilnius University, Lithuania; Institute of Applied Physics, Moldova; Northeastern University, USA; Research Institute for Physical Chemical Problems of BSU, Belarus) and two companies (JSC Topaz, Moldova and JSC “Electronics Treatment Technologies”, EPT, Lithuania); To develop new electrodes (based on chalcogenides, iron group metals and “technological” electrodes) by well-established institutions; To increase career perspectives of each participant that will lead to benefit of each member and partnership as a whole. Partners will be complimentary involved into realization of the proposed research. The research tasks will be implemented through multidisciplinary Work Packages devoted to the fabrication, adapting and investigation of electrodes/materials, also they include the activities towards training and management. Namely, advanced training will be provided to the seconded staff through well-integrated programs, including workshops and conferences.

Mots clés : electrochemical processing, metallic foams, nanostuctured materials, electrowinning, semiconductor, catalytic, thermoelectric, sensing, electrochemical machining, electrospark alloying

Participants :
- Academy of Sciences of Moldova (Rép. Moldave) — Partner, beneficiary, Recherche, subvention : 225000.0 €
- Belarusian State University (Biélorussie) — Partner, organization partner, Recherche, subvention : 0.0 €
- Vilnius University (Lituanie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 274500.0 €
- Intreprinderea mixta uzina topaz sa (Rép. Moldave) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 31500.0 €
- Clarkson University (Etats-Unis) — Partner, organization partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Elektronikos perdirbimo technologijos uab (Lituanie) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 58500.0 €