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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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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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polarimetry for the metrology in microelectronics, studies of nanomaterials, and optical diagnosis of various biological tissue including plants. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
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and quantitative research skills; - Database processing in R or Python; - Multifactorial experimental designs. Bibliography: - Nichols, A. L., & Edlund, J. (Eds.). (2023). The Cambridge Handbook
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and quantitative research skills; - Database processing in R or Python; - Multifactorial experimental designs. Bibliography: - Nichols, A. L., & Edlund, J. (Eds.). (2023). The Cambridge Handbook
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in the use of geometric or morphological methods (e.g., Voronoi analyses, clustering methods, Minkowski functionals) Very good programming skills (e.g., in Python, C++, or comparable languages
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, distributed computing, and geospatial data processing • Python, R, SQL/NoSQL, containerization (Docker), Kubernetes • API development and web-based analytics tools • Systems, Optimization, and AI • ML/AI
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of Python English C1Spanish B2Catalan B2 Experience in data analysis Experience in pig production Experience in research on behavior and animal welfare Experience in public policy consulting Benefits Gross
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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
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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