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position if the candidate has completed all of the requirements for a degree but the degree has not been formally conferred: in this case, the candidate may present evidence of completion of the degree
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, United States of America [map ] Subject Areas: Chemistry / Bioinformatics , Chemical biology , Computational Appl Deadline: 2025/10/29 11:59PM ** Position Description: Apply Today is the last day you can apply for
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. • Collaborate with mathematical modelers and experimentalists in the NIH Center to iteratively refine learned models. Qualifications: • Ph.D. in applied mathematics, computational science, statistics, machine
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Duke University, Biomedical Engineering Position ID: Duke -BME -DUKESONG1 [#29728] Position Title: Position Location: Durham, North Carolina 27708, United States of America [map ] Subject Area
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Duke University, Biology Position ID: Duke-Biology-PD_DK [#30619] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27708, United States of America [map
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, United States of America [map ] Subject Areas: Environmental Economics Natural Sciences Forestry Appl Deadline: none (posted 2025/08/28) Position Description: Apply Position Description Dr. Jeffrey R. Vincent, the Clarence
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, United States of America [map ] Subject Areas: Computer Science Machine Learning Mathematics / applied mathmetics , Mathematical Sciences , Partial Differential Equations , Statistics Appl Deadline: none (posted 2025/08
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of the approaches we use, that’s just fine! Our lab is a training environment; we are primarily interested in recruiting people who love science and are willing to put in the work to achieve their goals. DEFINITION
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, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control
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. This computational immunobiology postdoctoral position is appropriate for a candidate who is enthusiastic and willing to undertake multiple molecular biology and computational approaches to evaluate host immunity