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. The appointment is not part of a clinical training program, unless research training under the supervision of a senior mentor is the primary purpose of the appointment. The Postdoctoral Appointee functions under
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, United States of America [map ] Subject Areas: Computer Programming Systems Modeling Biochemistry Atmospheric Science Appl Deadline: (posted 2025/02/19, listed until 2025/05/01) Position Description: Apply Position
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recent Ph.D. in microbiology, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative
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: A Ph.D. in statistics/biostatistics, computer science, bioinformatics, or other related disciplines is required. Strong interest, research background and experience in the methodology research in
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, United States of America [map ] Subject Areas: Computer Science Ecology Environmental Science Climate Science Geography Appl Deadline: (posted 2025/01/27, listed until 2025/04/01) Position Description: Apply Position
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conferences. Preferred Qualifications and Skills: Applicants must have experience doing qualitative data analysis using software such as NVivo. Applicants must be able to relocate to the Research Triangle
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Eldoret, Kenya. Qualifications: A doctoral degree in a relevant field is required, preferably a quantitative field such as epidemiology, bioinformatics, statistics, computer science or engineering. The
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Associate to join our fully integrated laboratory. With equal commitment, expertise, and infrastructure in computation, wet-lab biology, and chemistry, our lab aims to advance the development of novel
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. Preferred: Experience with in vitro and in vivo electrophysiology, imaging, mouse behavioral assays, and histological analysis. Computational skills are a plus. Why Join the Yang Lab? A proven track record of
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(PhD in computational biology, statistics, genetics or related field) with excellent quantitative and dry lab skills. The successful candidate will be expected to develop and lead computational analyses