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Postdoctoral Scholar to conduct qualitative modeling research in the Puget Sound region of Washington State, USA. Postdoctoral scholars are represented by UAW 4121 and are subject to the collective bargaining
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
: 277494287 Position: Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in
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Address Tucson, AZ USA Position Highlights The Lunar & Planetary Laboratory at the University of Arizona has an opening for a Postdoctoral Research Associate I in the field of modeling of planetary
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methodologies and tools for economic and ecological analyses of hydropower systems. The position will involve the development and use of computer models, simulations, algorithms, databases, economic models, and
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. Additional Qualifications: Expertise (or desire to work) in reduced order modeling, Causal inference and High Performance Computing are desirable. We particularly encourage applicants with expertise in Multi
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at Michigan Tech. The work will focus on building advanced reservoir simulation models coupled with geomechanics, performing risk assessments using NRAP tools, and contributing to leakage risk quantification
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Medical Center. Dr. Salehi's lab is at the forefront of research in brain cancer therapeutics. Our work focuses on developing and validating preclinical models for the treatment of neuro-oncological
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and focuses on molecular immunology and inflammatory mechanisms. Cutting-edge research models (eg. primary cell/organoid cultures, mouse models and human clinical samples) and technologies (e.g. scRNA
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applicant will work closely with industry sponsors who will help to guide the project. The Elbert lab and the industry partner are interested in developing mechanistic, predictive models of neurodegenerative
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SPECIFICS Postdoctoral Researcher in Defect Modeling The Pennsylvania State University Department of Nuclear Engineering The Computational Nuclear Materials Group (https://sites.psu.edu/cnmg/ ) at Penn State