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optimization models for electric vehicle fleet charging planning. Activities: • Apply operations research methods (linear and mixed-integer programming, dynamic optimization, stochastic optimization) • Integrate
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, or optimization**, connected to **artificial intelligence** and the research of **Antonin Chambolle** and his collaborators at CEREMADE. The position is a research position. The candidate will interact mainly with
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immunotherapies. The main focus of the proposed project is to explore new combinatorial epigenetic therapies to treat blood cancers. The position is funded by the Fondation ARC under the 2023 ‘Recruiting
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journals and presentations at conferences. - Collaboration with interdisciplinary research teams as part of the CERTAINTY project. - Optimization and documentation of modeling configurations for future
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simulate a refined batch of synthetic data. For each batch, the postdoc will estimate Bayes optimal error, an important guide for realistic goals for deep learning. The first batch of synthetic data will be
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characterization of the wireless link (power + sensing) - Design and optimization of sensor-resonator coupling - Participation in in vitro and ex vivo testing We are seeking highly motivated researchers to join our
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to optimize performances. The postdoc will carry out structural and morphological characterizations (X-ray diffraction, TOF-SIMS, AFM, and microscopy) of the selected superconducting materials. In the second
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entanglement using ultrashort charge wavepackets • Exploring the frontiers of THz quantum nanoelectronics as well as in the nanofabrication of advanced quantum devices which includes • Developing and optimizing
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computational tools (mainly in-house LBM code) for multiphysics simulations involving: heat transfer multiphase flows sorption kinetics The overall objective is to improve the understanding and optimization
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: • establish and optimize a targeted CRISPR screen of LCCL-domain protein genes ; • generate and analyse genetically modified Cryptosporidium lines ; • develop robust phenotyping assays to identify candidate