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Machine/Deep learning and classification Knowledge of the Linux operating system for using a computing cluster Interest in transdisciplinarity and teamwork Autonomy and scientific rigor Website
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This post-doctorate is part of the ANR DEEP-SENS (Demystifying
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Eligibility criteria - Deep knowledge of instrumentation and elementary particle detection - Proficiency in simulation tools (Gantt4 and CST) - Proficiency in programming languages (C++, Pyrhon) - Knowledge
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-DEEP and IMP Lyon), the work will combine field campaigns at instrumented combined sewer overflows, experimental laboratory analyses at ENTPE, and data processing. Occasional travel to instrumented sites
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existing structural and functional MRI data, acquire new data in collaboration with clinical researchers, and prepare publications and conference presentations. - Study preparation - Data acquisition (MRI
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Description CNRS offers a 18-month fixed-term contract researcher position to work on the recently funded project ACCTS (“Assessing cirrus cloud thinning strategies by learning from aerosol-cirrus interactions
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combine density functional theory (DFT), molecular simulations, and machine-learning force field (ML-FF) development to uncover the factors controlling NHC–surface interactions and to model realistic
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notebook - Present the results of syntheses and characterisations, ensuring their follow-up and quality - Master basic IT tools, ability to learn new ones - Work with rigour, reliability and initiative
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molecular dynamics simulations of modified nucleosomes - analyze the large data set obtained using various analysis tools, from visualization to automation using machine learning tools - perform QM/MM
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conferences. • Contribute to the writing of scientific publications. Optional : • Design Machine Learning (ML) potentials. • Code in FORTRAN and PYTHON to improve the functionality of the global