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that directly relate to this position. The University of Michigan Law School seeks applicants for the position of Clinical Assistant Professor of Law to teach in our Legal Practice Program, beginning in the 2027
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2026 - 15:37 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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maintain data management plan and data usage agreements that satisfy federal sponsor requirements (NSF, NIH, DoD, DoE, etc.). Manage necessary documentation work including data management plan, usage
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 1 month ago
’ of relevant experience; or an equivalent combination of education, training, and relevant experience. Experience with shared memory parallel programming. Experience with Python or R, particularly
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knowledge in physical or data science, engineering, or health and life sciences. Substantial proficiency in two of the following programming languages is expected: C/C++, Python, R, or MATLAB. You will be
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and projects, often on a number of parallel and competing tasks. Work with discretion to decide on the timing of operations within the work team’s agreed plan and plan ahead to meet experimental and/or
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discretization techniques for unstructured meshes and/or finite elements with an emphasis on highly scalable algorithms for exascale HPC environments Experience with parallel computing environments, HPC in a Linux
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discretization techniques for unstructured meshes and/or finite elements with an emphasis on highly scalable algorithms for exascale HPC environments Experience with parallel computing environments, HPC in a Linux
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discretization techniques for unstructured meshes and/or finite elements with an emphasis on highly scalable algorithms for exascale HPC environments Experience with parallel computing environments, HPC in a Linux
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to human gut organoids and primary airway epithelial cultures, to map innate immune responses and identify viral factors responsible for immune evasion. In parallel, you will develop a rapid RT-LAMP