182 algorithm-development-"Multiple"-"Simons-Foundation" Postdoctoral positions in France
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- Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO
- Université de Limoges
- Université de Reims Champagne Ardenne
- École Normale Supéireure
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around ten photons in this way—a key capability for the next generation of quantum processors that we are developing in collaboration with the startup Quandela, within the joint laboratory between C2N and
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Epidemiology and Neuropathology unit, headed by Pr. Hervé Bourhy. The team develops cutting-edge research to understand the basis and consequences of neurotropism. The ANR-funded project N3CoV is an innovative
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(benchmarking) Determine data sets Train neural networks Liaise with experimenters Analyse, exploit, validate and interpret results Disseminate and promote results Knowledge of how to use bibliographic search
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partners. He/She will take a leading role in bringing the Large Ingot Simulator (LIS) – a novel lab scale experimental setup, currently at an advanced stage of development – to full operation and will
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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
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designed and developed the USM platform, which enables the implementation of specialized memory management policies for applications with specific memory access patterns, such as key–value stores (KVS
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simulation software as well as analytical calculations developed by the postdoc. Successful results will be used to implement proof-of-concept neuromorphic accelerators in collaboration with international
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and regenerative medicine. Our research goals range from deciphering the mechanisms that govern development, growth and aging of bone and cartilaginous tissues to promote the advance of innovative 4R
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on software-related developments, including: - Development and automation of test and monitoring software - Data acquisition and analysis including interfacing with databases - Monitoring of the quality
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The successful candidate will be responsible for: 1. Develop the numerical and analytical tools required to design these tunable random architectures and predict the mechanical behavior