21 computer-programmer-"IMPRS-ML"-"IMPRS-ML" research jobs at The University of Arizona
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Sign In Create Profile Postdoctoral Research Associate-Computer and Information Research Tucson, AZ, United States | req23101 Apply Now Share Save Job Posted on: 6/11/2025 Back to Search
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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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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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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
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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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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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environmental exposure or cancer drug. We are currently seeking a candidate to lead a new research program on how tyrosine kinase inhibitors (TKIs) induce cardiotoxicity. Experience working in cardiovascular
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toxicity associated with environmental exposure or cancer drug. We are currently seeking a candidate to lead a new research program on how tyrosine kinase inhibitors (TKIs) induce cardiotoxicity. Experience
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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