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Field
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& Development division (gRED). The successful candidate will work in a highly interdisciplinary environment at the intersection of the Computational Biology, Translational Medicine and Technology Innovation
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, technical, or interdisciplinary field such as Information Science, Economics, Political Science, Public Policy, Engineering, Computer Science, Cybersecurity, Human-Computer Interaction, Business, Law, Urban
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Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Posting Information Posting Details Department Envir Sciences and Engineering - 463001 Posting Open Date 07/21/2025 Application Deadline 08/12/2025 Open Until Filled No Position Type Postdoctoral
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The Great Lakes Water Innovation Engine (Great Lakes ReNEW) is hiring 9 postdoctoral research fellows interested in working on the selective separation of nutrients, critical minerals, and energy from
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should have (or expected to get in a near future) a Ph.D. in applied mathematics, electrical engineering, computer science, or other related fields. - Strong quantitative and programming skills
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at the molecular level. Our experts in various platform technologies, such as: radiochemistry, nanotechnology, polymer, synthetic chemistry, optical imaging, medical physics, antibody, biology, engineering, and
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collaborations, market and regulatory analysis, technology transfer, and more. Click through to learn more about each area: Strategic Systems Analysis and Engineering Energy Conversion Engineering Computational
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within the University of Minnesota within Departments of Psychiatry, Neuroscience and Biomedical Engineering. This is in a joint collaborative partnership on neuroimaging informed neuromodulation in human
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science, engineering, bioinformatics, computational biology, or related fields. Preferred Qualifications: Multi-Omics and Genomics Expertise: Strong experience with large-scale datasets from public repositories, crucial