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Deep Learning for Physical Processes with applications to Earth System Science – DL4CLIM
Motivations and Scientific Program: the project targets the development of Deep Learning (DL) methods for the modeling of physical processes. The application domain is environment and climate. It buil
Wide exploration of genetic diversity in Brassica species for sustainable crop production – BrasExplor
The identification of new variability represents a major tool to face challenges to overcome global warming and improve farming system sustainability. Turnips and cabbages, which largely contribute to
Block neutral models to predict the response of Biodiversity in dendromicrohabitats to Forest Management – BloBiForM
The BloBiForM project aims at developping an array of tools for assessing forest management effects on biodiversity. We focus on organisms that depend on tree-related microhabitats (TreMs), i.e. sm
Mitochondrial daily rhythms in metabolic diseases – MitoCIRCA
Circadian clocks are evolutionary ancient, essential physiological mechanisms for anticipation of external cues. Initiated with a discovery of the molecular cogs of the clock in Drosophila, distinguis
Procedural memory and dynamics of striatal networks – ProMeSS
We all know the statement “It’s like riding a bike!” commonly used to convince someone that a task is really easy. However, the neural mechanisms making it so simple remains extremely complex. Indeed,
Composite forming simulation for non-crimp fabrics based on generalized continuum approaches – AMECOMP
Continuous fiber reinforced composites (CFRP) are used to provide light weight and high performance. Among the possible reinforcements, NCF (Non Crimp Fabric) provides an interesting solution and are