2,459 phd-computing-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" Postdoctoral positions in United States
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: 256443 Minimum Education and Experience: This position requires a PhD (or other doctoral degree) in education, public policy, social work or related field. In addition, it requires: Strong data analysis
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Qualifications: PhD (or analogue) and substantial knowledge of human and/or animal reproductive physiology. Significant experience of working with, and breeding rodent models. Excellent communication skills
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, is seeking highly motivated candidates for multiple postdoctoral positions. We are specifically looking for candidates who possess a strong background in theoretical and computational modeling
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Education and Experience Requirements PhD in epidemiology, biostatistics, computational biology, public health, or a related field Required Qualifications, Competencies, and Experience * Research experience
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in the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree from a recognized institution (no more than 5 years since completing the doctoral degree); Relevant research experience
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undergraduate students. Qualifications PhD in theoretical physics. A well-qualified candidate for this position will also possess: Research in theoretical high energy physics. Salary: Compensation will be
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, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD degree in physics
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Summary: The Burger laboratory in the Colorado Program for Musculoskeletal Research (CPMR), within the Department of Orthopedics, is seeking to fill the position of a Postdoctoral Fellow. This position is
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of findings. The research program is focused on understanding the role of extracellular vesicles and steroid hormones during pregnancy in shaping brain development and behavior. The Postdoc is expected
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disease with a focus on Alzheimer’s Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical methods to advanced imaging techniques