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very low DARKcount single microWAve photon DetectOR – DARKWADOR
very low DARKcount single microWAve photon DetectOR
SImulations with high-order schemes of tranSport and TurbulencE in a tokaMak – SISTEM
Simulations with high-order schemes of tranSport and TurbulencE in tokaMak
High Performance computing for quantifying climate change impacts on boreal areas – HiPerBorea
HiPerBorea aims to enable quantitative and predictive modeling of the thermo-hydrological evolution of cold environments covered by permafrost (25% of lands of northern hemisphere) under climate change. Permafrost thaw is associated with major feed-backs on greenhouse gases cycles (e.g.: thawing of previously frozen organic carbon pools).
Eulerian numerical modelling of fluid-structure interactions: application to the simulation of biological capsules in flow – CapsEulerianFSI
The study of the behavior of deformable particles and their mechanical properties in micro-fluidic devices is of fundamental interest<br />in medical applications. Numerical simulations is then a useful tool to conceive and design such systems.
Smart Autonomous Microscopy – SAMic
Our goal is to automate disturbance microscopy experiments for non-expert microscopy users and HCS applications.
Modeling hIerarchy between Cardiac descriptors with MAChine learning – MIC-MAC
Representation learning and in particular unsupervised learning enable knowledge discovery and risk stratification in medical databases, but need to solve key issues in terms of data integration. Data descriptors are numerous, can be high-dimensional and of heterogeneous types, and their combination is not trivial. MIC-MAC aims to substantially improve the analysis of medical images on these aspects.
Automatic Classification of Cardiac Examinations after Contrast agent InjecTion – ACCECIT
The objective of this project is to automatically combine information from late gadolinium enhancement and T1 mapping images in order to automatically classify the different pathologies and identify normal cases.
Aqueous redox flow batteries for sustainable storage of intermittent energy – Energy-4S
Energy transition supported by renewable energies will succeed thanks to the emergence of storage solutions. In this context, redox flow batteries can play an important role. One of their advantages is that the active material made up of organic redox molecules is dissolved in an electrolyte solution. Depending on the volume of the tanks, this technology becomes relevant to achieve an electrical capacity ranging from kilowatt hours to Megawatt hours.
Ecological consequences of Temperature induced Body size shifts – EcoTeBo
A common phenotypic response to climate change is the reduction in body size of ectotherms with temperature — the hotter it is, the smaller they get—. However, the ecological consequences of these body size changes on communities remain largely unexplored.
Metamorphism and Properties of Snow from 3D Images: Microscale Experimentation and Simulation for a better Understanding of Involved Mechanisms – MiMESis-3D
This project aims at improving the current knowledge and modeling of snow at microscale in order to guide the development of new generation snowpack models, which are necessary for several applications such as climate modeling, avalanche risk forecasting, etc. All the critical ingredients involved in snowpack modeling, namely metamorphism, transfer, mechanical and optical properties of snow, will be revisited and developed further within original multiscale approaches.
