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Description This project aims at developing plastic neural models that capture the insect navigational plasticity and resilience. 36 months (renewable +12 months) Simulation of navigating ant-agent models
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- ical instabilities. By leveraging CADNA, we will automatically identify instability sources and try to fix/bypass them by combining our expertise on NEMO algorithms with CADNA developers' knowledge
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, reinforcement learning, temporal logic, automata learning, etc. More specifically, we will explore reinforcement learning techniques to develop black-box testing algorithms for timed automata. We will explore
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consumption of Wi-Fi interfaces and to evaluate by simulation the dynamic adaptation algorithms developed within the FACTO project. - design of energy models for Wi-Fi interfaces - implementation and validation
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from the CNRS, the researcher will have to apply and develop a CSP (crystal structure prediction) methodology for the prediction and in silico design of materials. This could be based on generative
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Post-doctorate position (M/F) : Exascale Port of a 3D Sparse PIC Simulation Code for Plasma Modeling
to exascale architectures an initial 3D simulation code developed as part of previous work [1]. This work will initially focus on scaling up (distributed memory), optimizing CPU algorithms (vectorization) and
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will develop
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(English required) This work is funded by CNES, as part of support for laboratories to develop next-generation satellite data processing algorithms. New space missions are coming (IASI-NG, MSG third
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, composed of 180 members divided into 7 teams. Its activities cover both fundamental aspects and the development of practical applications. The areas of expertise of GREYC include algorithms, computer
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; - use the TOOCAN Lagrangian tracking algorithm, applied to these model outputs, to analyze the evolution of cloud structures and balance terms during system development; - explore the extreme values