39 parallel-computing-numerical-methods-"Multiple" Fellowship positions at University of Michigan
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in the position and outline skills and experience that directly relate to this position. Job Summary The Draelos lab, in the departments of Biomedical Engineering and Computational Medicine
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Qualifications* PhD in data science, statistics, computer science, AI, or a related field. Experience building end-to-end web applications with Python (Django/FastAPI), REST APIs, relational databases, and modern
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these methods accurately and independently, interact effectively with computational biologists, and clearly communicate findings through presentations and publications. Candidates with strong expertise in
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neuroanatomical, neuroimaging, computational, and behavioral genetic approaches to understand the cellular and physiological pathways that modulate aging and multiple disease risks in mammals. The Kaczorowski Lab
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multiple other departments. The U-M at Ann Arbor provides an outstanding training environment for researchers and very attractive benefits packages to its employees. Ann Arbor is one of the most educated
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manufacturers need to trust AI tools to improve production, quality, and safety. The M-CAML (Michigan Cognitive and Adaptive Manufacturing Lab) team aims to develop methods and tools for interpreting and
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program for up to two years in which they will acquire core skills in research methods including analytic skill development, grant and manuscript writing, and project management through a combination of
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alongside a team of well qualified predoctoral fellows. Apply and advance econometric methods. Propose new projects and develop grant proposals. This position is ideal for an applicant with a deferred
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applications. Our research program consists of two main thrusts, 1) the development and application of state-of-the-art laser and optical sensing techniques - both on the ground and in flight - to better
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junior trainees, including graduate and undergraduate students, in technical methods and experimental design. Present research findings at lab meetings, conferences, and through peer-reviewed publications