Search for a funded project
The NILE & AFAR areas: hydrological change sensitivity and impact on past human adaptation since 20,000 years – NILAFAR
The NILAFAR program aims to study the impact of hydrological fluctuations on societies at the transitionbetween hunter-gathering and agro-pastoralism in NE Africa over the last 20,000 years. Its objectives are to better understand the mechanisms at the origin of the intensity fluctuations of the African monsoon (external forcing and internal feedbacks of the climate system), and at the origin of episodes of hyperaridity that occurred over a few hundred years.
Sampling Rare Climate Events – SAMPRACE
The goal of the SAMPRACE project is to simulate rare climate events (e.g., heatwaves or cold spells), for which observations are sparse and climate model simulations are costly. SAMPRACE uses principles of statistical physics to develop and adapt rare event algorithms.
Impact of tailings on Environment: example of transfers of elements from Spoil tips in the North of France – ENTRESOL
The spoil tips of the North of France are, on the one hand, a wonderful opportunity for the development of an unique and original ecosystem (colonization by pioneer species) that must be protected, but on the other hand, a potential source of pollutants for the surface environment (leaching and alteration of spoil tips). To know if this balance is broken, transfers must be defined and quantified, and the environmental risk assessed. This is what the ANR ENTRESOL is working on.
Integrated approach to active materials, process and control for dexterous manipulation with soft grippers – MANIMAT
Integrated approach to active materials, process and control for dexterous manipulation with soft grippers
Conformational design for high throughput MS/MS reading of digital polymers – shapeNread
The shapeNread project aims at optimizing the tridimensional structure of digital polymers for high throughput sequencing. Coded data will be segmented in blocks to be released in a first MS/MS step and further activated in a second MS/MS step for sequencing. Specific tags will be conceived by molecular modelling in order to distinguish these segments in terms of conformation and hence enable high throughput sequencing by using MS/MS-IMS-MS/MS.
Mediterranean thermohaline circulation sensitivity: lessens from the past for future – MEDSENS
Climate projections for the 21st century indicate the risk of slowing down the thermohaline circulation in the Mediterranean with a potential socio-economic impact. However, the results of the simulations do not fully converge. We can improve our knowledge of the sensitivity of the Mediterranean circulation by studying the response to the past strong perturbation.
Live-tracking rhizobial switch from rhizosphere to plant-confined colonization modes – Live-Switch
Legumes establish a beneficial root nodule-forming nitrogen-fixing symbiosis with rhizobia for improved growth. The early stages of this interaction involve key molecular exchanges and the reprogramming of plant cells for bacterial entry. However, little is known about how rhizobia cope with the drastic shift to a confined host environment at this stage. Live-Switch addresses this question by studying the reprogramming of rhizobia and the dialogue with the plant partner at the single cell level.
Molecular and evolutionary principles governing enzyme regioselectivity – dEEPEN
Prediction of enzyme function is a notoriously difficult problem with promising biotechnological impact. Here, we tackle this problem by studying both molecular mechanisms and evolutionary properties of a class of enzymes that are involved in the ubiquinone biosynthesis pathway. To that end, we propose an interdisciplinary approach consisting in confronting bioinformatics studies in evolution (comparative genomics), biophysical models of molecular dynamics and biochemical experiments.
Analyzing Large Scale Geometric Data Collections – AIGRETTE
In the research project associated with this chair, we propose to develop efficient algorithms and mathematical tools for analyzing large geometric data collections, including 3D shapes represented as triangle or quad meshes, volumetric data, point clouds possibly embedded in high-dimensions and graphs representing geometric (e.g. proximity) data.<br />Our project is motivated by the fact that large annotated collections of geometric models have recently become available, and that machine learning algorithms applied to such collections have shown promising initial results, both for data analysis and synthesis. We believe that these results can be significantly extended by building on recent advances in geometry processing, optimization and learning.
Capitalizing knowledge on Common Alerting Protocol, individual Capacities & Capabilities of practitioners for guiding a New Cap for Alerting population in France with a multichannel platform. – Cap-4-Multi-Can-Alert
Cap4 Multi-Can'Alert is an experimental development project within the framework of the 2024 Olympic Games. It aims to develop an innovative multi-channel alert solution, which will combine different distribution channels, adapted to the regulatory and technological contexts emerging in France, and which will integrate the needs of end users and the reactions to be expected from the population.
