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Field
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Python, R, or MATLAB. Solid understanding of battery systems, electrochemical processes, or energy management. Preferred Skills: Experience with time-series analysis, predictive modeling, and anomaly
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design and very good programming skills (Python, Pytorch). Excellent command of IT tools and perfect command of AI and Data Science tools. Profile required: PhD in computer science, specializing in AI and
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hydrological modeling at catchment scale, and familiarity with modeling tools. Proficient in statistical analysis and programming languages such as Python, R, or MATLAB. Strong written and verbal communication
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the use of bioinformatics tools for metagenomic and transcriptomic data analysis (e.g., QIIME, DADA2, R, Python). Demonstrated ability to independently design and conduct experiments, analyze data, and
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to the main plasma physics conferences. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7345-YANCAM-002/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent
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team, led by Christelle Peyron and Pierre-Hervé Luppi, brings together multidisciplinary researchers involved in integrative projects aligned with the objectives of the CRNL. Where to apply Website https
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existing and new computational methods to study multiscale processes in catalysis and photochemistry. Other projects that align with our general interest are also possible. Please see https://sdonglab.org
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fibers and optical phenomena. 3. Experience in conducting research and disseminating results. 4. Experience in working in research teams. 5. Knowledge of the MATLAB, Python, PyTorch, or TensorFlow
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will be responsible for programming and maintaining gait exoskeleton systems, developing and implementing real-time control algorithms in C/C++, Python, and Simulink, as well as integrating feedback from
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simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go