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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 15 days ago
that communicate findings to internal and external audiences; and 4) Support the development of reproducible analytic pipelines that can be reused for future regulatory science projects. Learning Objectives: Under
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interdisciplinary NIST team in applying multiple analytical methodologies, including neutron activation analysis, XRF, and ICP-MS and OES, among others, as well as document and report findings. The ideal candidate
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Details Title Postdoctoral Research Fellow in Statistical Machine Learning and Biomedical AI School Harvard T.H. Chan School of Public Health Department/Area Biostatistics Position Description
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university’s creative, dedicated and close-knit community. We place emphasis on practical problem solving, interdisciplinary learning, a transformative spirit, and collaboration. The Neuroscience Institute (NI
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the one of the relevant fields. Preferred skills: Experience in forest operations analysis, forest resource management, spatial data science, supply chain/logistics analytics, machine learning Analytical
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data engineering, analytics, or machine‑learning projects, particularly those involving clinical or EMR data, prepared you for building automated pipelines, dashboards, and decision‑support tools in a
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Learning and Data Analytics. You will have experience in composing project deliverables and delivering effective presentations and be able to assist in project integration workshops and other meetings. With
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transfer, thermo-fluid systems simulation and programming, as well as exposure to software platforms and algorithms for Artificial Intelligence, Machine Learning and Data Analytics. You will have experience
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modelling. Proficient in or able to learn ecosystem service software (e.g., InVEST, ARIES). Strong analytical, problem-solving, and data interpretation skills. Effective in research design, reporting, and
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 15 days ago
tool that integrates these checkpoints into an interactive platform, allowing FDA statisticians to query best practices in real time. Learning Objectives: The fellowship will include structured learning