14 evolutionary-computation Postdoctoral research jobs at The University of Arizona in United States
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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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related field. Preferred Qualifications Experience with spatiotemporal analysis using R, Python, and/or comparable computer programming languages. Experience in high performance computing. Experiencing
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Qualifications PhD or MD, PhD degree in neurobiology, biophysics, molecular biology, biochemistry or related field of study. Preferred Qualifications Experience with computational fluid dynamics. Experience with
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Associate I position seeks scientists ready to pursue an ambitious program of research in astronomy or astrophysics (0.5 FTE) and in supporting service operations (0.25 FTE) of Steward Observatory
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work will focus on the modeling and interpretation of transiting exoplanet and host star data from JWST, and the upcoming Pandora mission. The Eyes on the Stars JWST Archival program aims to study host
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Sign In Create Profile Postdoctoral Research Associate, Systems and Industrial Engineering Tucson, AZ, United States | req23869 Apply Now Share Save Job Back to Search Postdoctoral Research Associate, Systems and Industrial Engineering Posting Number req23869 Department Systems and Industrial...
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Sign In Create Profile Postdoctoral Research Associate, Systems and Industrial Engineering Tucson, AZ, United States | req23869 Apply Now Share Save Job Posted on: 9/12/2025 Back to Search Postdoctoral Research Associate, Systems and Industrial Engineering Posting...
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Strong foundational skills in computational analysis of RNA-seq and CLIP-seq data. Working knowledge of immunofluorescence and immunoprecipitation assays. Minimum Qualifications Ph.D in Cell Biology
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. Contribute to grant writing. Minimum Qualifications PhD in computer science, computational biology, or related field. Dissertation must have focused on development of neural networks for analysis of proteins
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the research program operates in compliance with regulatory agency guidelines. Projects are both independent and in collaborations with faculty members and multilevel trainees within the Department of Pediatrics