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and the safety implications arising from these interacting processes. You will use and extend PyBaMM, which is an open-source Python-based battery modelling framework (https://pybamm.org
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fundamental questions about soil health in agricultural cropping systems and advance your research career in a leading international research environment. The position is part of the EU project MultiSoil (https
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 12 hours ago
programming skills and background in AI; Proficiency in R and/or Python, especially regarding the use of libraries specific to bioinformatic analysis (e.g., DESeq2/pyDESEQ2, clusterProfiler/GSEApy, Seurat
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
. Preferred Qualifications, Competencies, and Experience Programming skills (e.g., python, bash scripting, Fortran, C++ and CUDA), expertise in computational modeling (such as Deep Learning, Molecular Dynamics
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part of the Forschungsverbund Berlin (https://www.fv-berlin.de/) and the Leibniz Association (https://www.leibniz-gemeinschaft.de ). You can find more details on the institute webpage: https://www.ikz
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of European projects (GUINEVERE, FREYA, MYRTE) or bilateral CNRS-SCK collaborations (MYRACL, SALMON). Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR6534-AURGON-050/Default.aspx Requirements
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, MYRTE) or bilateral CNRS-SCK collaborations (MYRACL, SALMON). Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR6534-AURGON-049/Default.aspx Requirements Research FieldPhysicsEducation LevelPhD
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skills. Is confident using digital learning tools such as Python, SAS, Stata or similar. Holds (or will soon complete) a doctorate in Finance or a closely related field. Enjoys contributing to the wider
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data analysis using software Experience in R and python is a plus but not mandatory Good presentation and writing skills Proactive, independent, and solution-oriented way of working Fluent English
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Python and PyTorch Assist in dataset preparation, preprocessing, and augmentation Run training and evaluation pipelines Analyze experimental results and document findings Collaborate closely with graduate