2,303 evolution "https:" "https:" "https:" "DESY" Postdoctoral positions in United States
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on the design and development of mathematical, probabilistic, and statistical frameworks for drawing inferences from complex biological data in collaboration with scientists at the Snow Centre for Immune
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relationships across the ARISE project. 30% - Contribute to the development of research documentation for publication and/or prepare technical reports, journal papers, and/or records. 10% - Contribute
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-microbiome interactions influence infant health and development. The candidate would have access to a rich interdisciplinary scientific community that spans multiple departments and colleges, as well as state
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group in the Department of Physics & Astronomy at the University of Iowa invites applications for a postdoctoral research position. The successful candidate will work on the development of axion–plasma
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Immunology Posting Number R260042 Posting Link https://www.ubjobs.buffalo.edu/postings/61542 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89
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Immunology Posting Number R260043 Posting Link https://www.ubjobs.buffalo.edu/postings/61543 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89
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the preparation, organization, and maintenance of the research worksite. Qualifications PhD in a biology-related field (cell, molecular, evolution, or closely related fields) Physical requirements may vary
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translational breast cancer research. We use cell culture and animal models to examine molecular mechanisms regulating the development and progression of breast cancer with a specific focus on the tumor
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Coordinator will support the Associate Vice Chancellor for Research in the development, implementation, and evaluation of high-quality professional development and training programs for postdoctoral fellows
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algorithms for the evolution of inorganic aerosols in the atmosphere, building upon the research group's efforts in modeling combustion-generated aerosols. These modeling framework will be used to understand