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Field
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, Google Cloud, Microsoft Azure), including containerization (Docker), orchestration (Kubernetes), serverless computing, and REST API development. Proficient in Python, with basic experience in machine
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. Develop reproducible, version-controlled pipelines and notebooks in R and/or Python for high-performance computing environments. Coordinate data generation with clinical and experimental partners, including
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postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . The Fellow will train under the supervision of Institute leadership and faculty mentors, including but not
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Disease Prevention and Health Promotion in the Division of Nutrition, Physical Activity, and Obesity (DNPAO), you will engage in a training experience involving Active People, Healthy Nation (https
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or precision measurement applications - programming skills (preferably Python), databases, data visualisation, and version control - general laboratory skills (especially: optics, opto‐mechanics, opto
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(especially: optics, opto‐mechanics, opto‐electronics, RF‐electronics) - good knowledge of analog and digital electronics - programming skills (preferably Python), databases, data visualization, and
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(preferably with experience in Python) - good knowledge of analog and digital electronics - knowledge of space design and safety standards - gender and diversity sensitivity Your path to the HU
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computer aided design (preferably Autodesk) - programming skills (preferably with experience in Python) - good knowledge of analog and digital electronics - gender and diversity sensitivity
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of light-matter interaction - motivation to connect theory with experiments - programming skills (preferably with experience in Python) - gender and diversity sensitivity Your path to the HU
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analysis in a research context Proficiency in R and/or Python for statistical analysis and pipeline development Familiarity with causal inference or genetic epidemiology methods (e.g., Mendelian