990 engineering-computation-"https:"-"https:"-"https:"-"https:"-"Univ" Postdoctoral positions in United States
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at Virginia Tech and at the Virginia Tech Center for Quantum Information Science and Engineering. There will be plenty of opportunities for collaboration with other members of the group and with some of the
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students. Collaborate with multidisciplinary teams and external partners in academia, government, and industry. Minimum Qualifications: Ph.D. in Chemical Engineering, Materials Science, Chemistry
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Postdoctoral Associate Required Qualifications (as evidenced by an attached resume): Ph.D. (or foreign equivalent) in Biomedical Engineering, or a closely related/relevant field; experience with
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primary goal of this work is aimed at advancing next-generation, lithium-ion technology through a detailed understanding and mitigation of surface degradation mechanisms that limit state-of-the-art lithium
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materials from complex feedstocks to achieve the desired product quality and form. As a part of this team, you will: Apply electrochemical engineering principles to develop processes such as oxide reduction
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to independently design, execute, and troubleshoot experiments Strong computational skills for processing complex cryo-EM datasets Enthusiasm and demonstrated ability to rapidly learn new techniques Prior training
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College of Agriculture and Life 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
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer
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these toolkits into biotechnology platforms and therapeutic reagents. Our research program integrates chemical biology, protein engineering, and cell biology techniques for therapeutic development, primarily in
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induced by radiation, focusing on mechanisms of regenerative reprogramming and stromal-epithelial interactions. Complementary approaches will be used, including genetically engineered mouse models