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research in social, affective, and health neuroscience. English is the working language of the team, but speaking French or an interest in learning French will be advantageous. Where to apply Website https
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. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to machine learning. Ph.D. in Materials Science, Physics
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optical simulation skills (Preferably in Zemax) Strong programming skills (preferably in Python) Experience in deep learning algorithms is a plus Ability to work in a highly international team and
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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2021; Khoshkhoo et al. JAMA Neurology 2023; Farrell et al. Nature 2024; Bizzotto et al. PNAS 2025; Khoshkhoo et al. bioRxiv 2026. For more information, please check our websites at https
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the data from HEP experiments is strongly required Programming expertise in Python and either PyTorch or TensorFlow is required Experience using High-Performance Computers (HPCs) is preferred Ability
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
(e.g., Python, PyTorch, etc.) * Experience with data analysis and statistical methods Preferred Qualifications, Competencies, and Experience * Experience working with evolutionary games in structured
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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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UnitedKingdomTime) Position Description: Apply Position Description We invite talented and motivated applicants for PhD and Postdoc positions in the group of Haowei Xu (https://www.haoweixu.com/ ) at the Department
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health record (EHR) integration Community partnership–driven research Responsibilities: Conduct statistical and computational analyses using R, Python, SAS, and/or SQL Support cloud-based analytics in