116 foundation-engineering-"https:" "https:" Postdoctoral research jobs in United States
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/Responsibilities: Develop and apply AI foundation models for hydrological and Earth system modeling, with emphasis on improving predictive capabilities for compound flooding in coastal regions. Design and implement
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revolutionize the understanding and advancement of human health by conducting interdisciplinary foundational research, developing and harnessing advanced computational approaches, and training the next generation
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and its applications, and is willing to learn new technologies. The candidate should have a PhD in Computer Science or a closely related field. Relevant background and skills include: Strong foundation
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a Research 1 University — Highest Research Activity by the Carnegie Foundation for the Advancement of Teaching, and the College of Engineering is the largest contributor to the University’s research
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Engineering – 20% • Use shRNA/CRISPR gene-targeting approaches to validate novel targets identified through secondary, custom-designed siRNA library screening. Laboratory Management and Scholarly
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 2 months ago
Description The U.S. Department of Energy (DOE) Science, Technology, and Policy Program (DOE-STP) is designed to provide opportunities for students, postgraduates, and faculty to participate in programs
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provides opportunities to work on industry-relevant challenges involving process development, thermal reaction engineering, materials characterization, and scale-up studies. The position offers a
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enable new discoveries in life sciences and bio-technology relying on structural biology methods. The ideal candidate would have a background and an interest in Biophysics, Biochemistry, Artificial
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at 479.575.5351. Department: Graduate & Hourly Employees Department's Website: https://engineering.uark.edu/electrical-engineering-computer-science/ Summary of Job Duties: The Post-Doctoral Fellow - Electrical
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in August 2026. This position is funded by the Andrew W. Mellon Foundation as part of a grant supporting the development and outreach of open-source technology for applying AI methods