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structure). - main role: to work at the interface with biologists to confront models with the results of induced biological perturbations, and to infer, using the models, new cellular interactions or new
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to organize own work with minimal supervision • Ability to work as part of a team • Advanced computer and AI skills • High level analytical capability • Ability to apply relevant models, techniques and methods
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part of the European project ULTRABAT (BATTERY2030+), you will be responsible for modeling the NMR parameters of lithium ions in and at the interface of battery cathode materials. The ULTRABAT project
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Capacitors), the candidate will be responsible for developing and using advanced and coupled characterization techniques in order to understand charging storage mechanisms in sodium-ion supercapacitors. A
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model, NEMO has been designed to run in double precision, i.e. using 64-bit floating-point numbers. Using lower precision can be beneficial in terms of performance by reducing memory usage, execution time
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-microorganism combinations against contaminants, with the ultimate aim of proposing one - Diversity of soil microbial communities and root endophytes of native plants (metabarcoding) - Establishment of bacterial
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towards sustainable smart homes. Thus, in the FACTO project, we propose to investigate Wi-Fi only based solutions. In this context, the role of the recruited person will be to model and simulate the energy
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The aim of this reaserch project is the modelling of the mechanical properties of spin crossover materials. - Development of thermodynamical and statistical physics approaches for the analysis
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Post-doctorate position (M/F) : Exascale Port of a 3D Sparse PIC Simulation Code for Plasma Modeling
further GPU porting. The exploration of C++ programming models for performance portability, such as Kokkos or StarPU, will form a second part. A comparative study will evaluate the different implementations
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to advanced materials studies in support of Safran Ceramics' technical objectives. - Verify the model's numerical robustness through systematic evaluation of mesh discretization, parameter sensitivity, and