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an environment with significant trust and accountability. Preferred Skills, Knowledge and Abilities: Advanced skills with Tableau, Python, R, and other statistical packages; Expert level knowledge of Asana
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), Excel (VBA and macro automation), SQL, and Python. Assist with data analysis and preparation of results (tables and charts) for presentations, publication, or reports including internet distribution using
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
components of the role. Our UNC group is an integral part of the Triangle Universities Nuclear Laboratory (TUNL) (https://www.tunl.duke.edu/), a Department of Energy Office of Nuclear Physics Center
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) methods. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5253-MOUBEN-002/Candidater.aspx Requirements Research FieldChemistryEducation LevelPhD or equivalent Research FieldChemistryEducation
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team • Proficiency in programming languages (e.g. Python, R, Fortran) Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8190-JEARAU-003/Default.aspx Work Location(s) Number
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at http://kaczorowski.lab.medicine.umich.edu or on Twitter @KaczorowskiLab. Responsibilities* The successful candidate will be able to plan, develop, execute, and analyze an independent research project in
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but related lines of research: 1/ Investigate wavefront sensing measurements with Color-filter arrays (CFA) detectors. The PhD student will perform python simulations based on Fourier optics to combine
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programming languages for data analysis (e.g., R, Python). Experience with mass spectrometry-based metabolomics approaches, including LC-MS/MS. Experience operating, maintaining, and troubleshooting LC-MS/MS
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Systems, Quantum AI, Blockchain AI, AI for Autonomous Systems Foundational courses (for Connect pathway students): Python programming, Mathematical Concepts, Research Methods and Scientific Writing
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.) ● Strong computational background, including: o 2 years of experience in programming (e.g., Python, R, Julia, or similar); o Evidence of working with large-scale datasets (e.g., genomics, transcriptomics