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Processes): a joint research unit affiliated with Université Grenoble Alpes, Grenoble INP, and CNRS. It focuses on relationships between materials, processes, and properties. SIMaP hosts around 200 staff: 60
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researcher will join the bioinformatics team at the MMSB Laboratory (UMR 5086; MOMS team). Responsibilities: (1) computer simulations as part of the SELDOM project, focusing on interactions between lipids and
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of experimental statistics, signal processing and excellent programming skills (eg Python, R, ...). Previous experience with model-based fMRI experiments, advanced multivariate data analysis and computational
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on identifying an appropriate process to co-integrate each sensor, individually functionalized with a unique and specific probe. On the long term, these new tools will enable online monitoring of contaminated soil
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FieldComputer scienceYears of Research Experience1 - 4 Research FieldMathematicsYears of Research Experience1 - 4 Additional Information Eligibility criteria Skills/knowledge: computer vision, neural networks
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Infrastructure (EGI), hosting medium-sized computing and data storage facilities, but contributing significantly to the processing of simulations for H.E.S.S. and CTAO, for example. In addition, membership in
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well as computer and storage servers. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7284-GIALIT-022/Candidater.aspx Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent
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data processing and/or modelling; Ability to work in interdisciplinary teams, and excellent communication skills in English; A demonstrated track record of publishing in international peer-reviewed
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of these communities to ecological and biogeochemical processes. This work will feed into wider project goals to understand the role of dormancy as a regulator of biogeochemical cycles, and to link dormancy
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skills for this position are: o Good knowledge of the technological challenges of agricultural/viticultural robotics. o Proven skills in: vision-based robot modeling and control; computer vision and