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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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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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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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: • 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
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photocatalytic process and the study of the reaction mechanism. # Photoredox catalysis • You optimize the catalytic conditions • You study the extent of the reaction • You carry out reactions
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support the optimization of hydrogen storage systems. · PhD in fluid mechanics, energy engineering, chemical/process engineering, or related field · Strong background in Computational Fluid Dynamics (CFD
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includes: Synthesis, development and optimization of advanced biobased polymer matrices and polymer blends. Formulation and processing of high-performance thermoset systems. Development of carbon fibre
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, shape, and optimize granular composite (catalytic) materials that combine electrical conductivity, mechanical robustness, and fluidizability for EBFBR. Composite formulation and processing routes (e.g
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motifs; - establish, optimize, and apply quantitative protein-interaction assays; - perform mammalian cell culture, molecular cloning, mutational analysis, recombinant protein work, and fluorescence
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
autonomy to work in close collaboration with a hardware engineer and clinical partners are all valued. A PhD in mechanical engineering, with expertise in shape/topology and system-level design optimization