33 high-performance-computing-postdoc Postdoctoral research jobs at The University of Arizona
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that influence volatile organic compound (VOC) cycling in soil. The Postdoc will track the fate of VOC carbon soil incubations in the laboratory and plant rhizospheres in growth chambers. The Postdoc scholar will
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of neural activity with control of defined circuit elements and utilizing imaging, optogenetics, anatomy, high-density freely moving neurophysiology, behavior, and computation. Ideal candidates will have a
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research as a graduate student or early-level postdoc. Please note that U.S. citizens or green card holders will receive top preference due to eligibility for NIH postdoctoral fellowships. However
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or a related field and will be capable of leading an innovative research program, working collaboratively with an international team, and communicating effectively to academic and non-academic
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Drs. Koenraad Van Doorslaer and Michael Kuhns. This challenging position requires a high level of enthusiasm, dedication, and drive for applicants interested in conducting evolutionary guided research
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performance of tailings materials and storage facilities. Implement and refine the hydro-mechanical models to evaluate behavior under static and dynamic conditions. Conduct Laboratory and Field Investigations
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addition to the PhD requirement, a Master's degree in GIS is preferred. Research experience relevant to the following scientific area: geospatial data science. Experience with High Performance Computing. FLSA Exempt
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lab meetings. Literature Review: Staying up-to-date with relevant research and participating in scientific discussions. Lab and Mentorship Responsibilities: Lab Management: Performing assigned lab
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large EHRs, claims, or omics datasets. Ability to conduct research independently and within a team. Minimum Qualifications PhD in data science, biomedical informatics, computational biology, neuroscience
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, please click here . Duties & Responsibilities Lead a NIH funded project studying inflammation and immunology in lung diseases Screen literature, perform critical analysis of prior research, design and