608 phd-computational-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at The University of Arizona
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. Knowledge of and experience with community relationship-building. Knowledge of and experience with helping organize and promote interdisciplinary and applied and public-facing projects and program. Experience
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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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, and a highly competitive PhD program. The faculty also teach several required and elective courses in the Eller MBA program (full-time MBA, evening MBA, online MBA, and executive MBA). We invite all
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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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professional organization committees as appropriate. Minimum Qualifications MD, PhD, or an equivalent doctoral degree with demonstrated research experience and an emerging or established track record
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presentations. Collaborate with project team including PhD students, researchers, professors, and industry collaborators. Knowledge, Skills and Abilities Skilled in analytical instrumentation. Skilled in field
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architecture. To learn more about compensation, please review our Applicant Compensation Guide and our Total Rewards Calculator . Career Stream and Level PC1 Job Family Researchers & Scientists Job Function
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. Knowledge of mineral resources geology. Minimum Qualifications PhD degree in Geology or related field AND a minimum of eight (8) years of relevant work experience is required. Must have a valid driver's
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Qualifications PhD in data science, biomedical informatics, computational biology, neuroscience, or related field. Demonstrated experience in analyzing real-world medical data and applying machine learning
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of Arizona and relocations services, please click here . Duties & Responsibilities Duties and Responsibilities: Contribute to a research project in close collaboration with faculty supervisors, PhD students