38 computational-biology-physics-training Postdoctoral positions at The University of Arizona
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is available through an AFOSR-funded project, focusing on theoretical investigations at the interface of quantum optics, atomic physics, and many-body physics. The project explores how atomic arrays
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participation in remote and in-person team meetings, presentation of results at conferences, scientific mentoring of junior colleagues, and preparation of original scientific research manuscripts. Minimum
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and cellular biology techniques (qPCR, Western blot, CRISPR, etc.) Knowledge of vitro cell models and in vivo animal models (viral/fungal) Knowledge of general pathophysiology and molecular biology
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of experiments or simulations. Develop, implement, and refine computational and/or experimental techniques relevant to the project. Analyze data, prepare publications, and present findings at scientific meetings
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metabolome data collected for a population of individuals with hypermobile Ehlers Danlos Syndrome. This person will also train, supervise, and support professional and student personnel in the lab. The ideal
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-based astrophysics with strong interdisciplinary programs across the Departments of Astronomy, Physics, Planetary Sciences, and Optical Sciences. Home to the Richard F Caris Mirror Lab, a founding member
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, presentation of results at conferences, scientific mentoring of junior colleagues, and preparation of original scientific research manuscripts. Minimum Qualifications PhD in the field of Planetary Science
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project described within the Position Highlights. Run computer simulations, write papers, and occasionally help with advising graduate students. Knowledge, Skills, and Abilities: Knowledge, in nonlinear
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results. Scholarly collaboration - Submit experimental results for publication in peer-reviewed journals. Train and supervise research assistants (undergraduate, graduate, and technical staff) working
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related field. Preferred Qualifications Experience with spatiotemporal analysis using R, Python, and/or comparable computer programming languages. Experience in high performance computing. Experiencing