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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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, 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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. Minimum Requirements: PhD or equivalent doctorate (e.g., ScD, MD, DVM) in psychology, psychiatry, neuroscience, biostatistics, bioinformatics, computer science, or a related field. Research background in
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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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The research will be studying skeletal muscle biology and function in regulating other tissues, using cellular, molecular, and model animal (transgenic mice) approaches. Specifically, the postdoctoral research
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will be studying skeletal muscle biology and function in regulating other tissues, using cellular, molecular, and model animal (transgenic mice) approaches. Specifically, the postdoctoral research
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Duke University, Office of the Dean, Pratt School of Engineering Position ID: Duke -FacultyResearchMento -POSTDOCSALAHSHOOR [#30318] Position Title: Position Type: Postdoctoral Position Location
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may include teaching responsibilities. The appointment is generally preparatory for a full time academic or research career. The appointment is not part of a clinical training program, unless research
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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