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interdisciplinary, and together we contribute to science and society. Your role You will join the recently established Chemical and Molecular Neurobiology group led by Associate Prof. Ivana Nikić-Spiegel at the LCSB
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, France) and at the ESRF ID12 beamline (Grenoble, France), under the co-supervision of Prof. Olivier Isnard (Néel Institute) and Dr. Fabrice Wilhelm (ESRF). This PhD project is co-funded by University
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 4 days ago
knowledge of software development and related tools (version control, compilation, documentation, testing, debugging…); Taste for technological innovation Fluency in English technical Good writing skills
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information about the position please contact: Prof. Denis SCUTO Your profile Master's degree in Digital History, Data Science, Historical Migration Studies, Digital Humanities, or a related discipline Proven
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of an object become as small as certain characteristic distances (coherence length, mean free path, etc.). The third area extends the concept of "soft matter" to biological systems. The themes range from complex
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to constrain the free parameters of the simulated model and validate the simulation against real-world observations. Exploring Motor Control Policies: Develop and test motor control policies to mimic larva
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European project (IsoPROPEL) in close collaboration with Forschungszentrum Jülich (Germany) for cell design and catalytic testing and ITQ Valencia (Spain) for the synthesis of catalysts. The overall goal
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interventions, creating environmentally sustainable devices, and developing simulators to reduce reliance on in vivo testing. The training network is interdisciplinary, integrating various fields such as
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secondments: A three months secondment at ISAS with co-supervisor R. Heyer is planned to exchange on data formats and to be trained to exploit the new version of the MetaProteomeAnalyzer Software A three months
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. The doctoral project will focus on three main research axes: 1. Evaluate and improve ice sheet models: propose original analyses to test model robustness, for example by studying the spread of results from