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postdoctoral associate positionsavailable for thehighly motivated and skilled candidates with a fresh PHD training in molecular biology, biochemistry, and/or cell biology to join a newly set-up lab at Duke
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accepted after 2025/02/26 11:59PM US Eastern Time. Position Description The Randles Lab has an opening for a highly-motivated individual to pursue computational hemodynamics research in a supportive and
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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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and Wellness, and multiple affiliations. Postdoctoral FellowPosition Computational approaches to malaria parasite antigen diversity Duke Global Health Institute The Malaria Collaboratory is recruiting
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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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) Strong statistical computing skills in R and SAS Excellent writing and communication skills MINIMUM QUALIFICATIONS Education See job description for education requirements. Experience See job description
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statistics (desirable but not required) Strong statistical computing skills in R and SAS Excellent writing and communication skills Duke University is an Affirmative Action/Equal Opportunity Employer committed
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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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for patients with acute and chronic neurological disease including glioblastoma. Eligibility: PhD, MD, MD/PHD, or equivalent degree in Biology, Medicine, Immunology, Neuroscience, Chemistry, Biochemistry, or a
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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