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primarily focus on one or more of these parts. The successful candidate will develop numerical tools and/or theoretical models to model and simulate the behavior of a group of agents capable of chemical
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foundations of feature learning in neural networks. Engage in the life of the CSD, including participating at the weekly seminars. Present results internally and at international venues; Qualifications PhD in
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dozen input variables). The foreseen approach would be to build on recent developments in using CNNs for Species Distribution Models (e.g. Deneu et al 2021, Morand et al 2024) to summarise the complex
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and mRNA translation. The successful candidate will establish live imaging tools to analyse translation dynamics in regenerating axons, using an ex vivo culture model previously optimized (Schaeffer et
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RAISE project (Recrystallization modelling of metallic Alloys with Improved Stored Energy description), a collaboration between the Georges Friedel Laboratory (LGF, Saint-Étienne), the Centre for Material
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-source framework, enabling the systematic study of these materials. The work will involve developing tensor network numerical codes, building upon existing libraries and codes, to study general models
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equipment. Where to apply E-mail job-ref-ils30dym81@emploi.beetween.com Requirements Research FieldEngineering » Civil engineeringEducation LevelPhD or equivalent Skills/Qualifications PhD in Rock Mechanics
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vivo cancer models. The candidate will be expected to: Determine the effects of the identified VFs using various in vitro and in vivo assays and investigate the underlying mechanisms Contribute
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mitigated. Key missions of the postdoctoral researcher: Model and simulate shipboard microgrids, integrating realistic dynamic marine loads, DERs,and energy storage systems. Design and implement advanced
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Infrastructure? No Offer Description The postdoctoral researcher will contribute to the ANR-funded Pi-CANTHERM project, which aims to design, model, and predict the performance of new n‑type organic thermoelectric