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strengths. Duties: Collaborate with PIs and project technicians on study design and data generation. Work closely with the PIs and project stakeholders on collaborative activities with tribal communities and
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, Bioinformatics, Computer Science, Mathematics, Statistics, Data Mining, Parallel Programming, Supercomputing, or Cloud Computing. 3) Experience collaborating with diverse and geographically distant teams
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ample funding for computing resources and travel, and there will also be the opportunity to gain experience in mentoring undergraduate and PhD students, outreach, and other departmental activities
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University of Oklahoma's supercomputer, Schooner. There is ample funding for computing resources and travel, and there will also be the opportunity to gain experience in mentoring undergraduate and PhD
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Location University of Oklahoma, Homer L. Dodge Department of Physics and Astronomy Open Date Sep 12, 2024 Description Applicants will possess a relevant PhD (or be nearing completion) or equivalent
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- Norman Campus (Norman, OK) Open Date Apr 05, 2023 Description The candidate is responsible for analyzing and mining multi-omics data using computational techniques, such as deep learning, generalized
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the state of the science on the cohort topic across all CASC regions; and advance our understanding of management-relevant applications of this information. Fellows will conduct much of the national synthesis
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: Research experience in acoustics, biomechanics, and experiments in animal or human ear (temporal bone) Relevant education degree (PhD level) Preference: Biomechanics of the ear Research experience in animal
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Job Qualifications Ph.D. in Machine Learning/Artificial Intelligence and experience with atmospheric sciences or a PhD in Atmospheric Science or closely-related field and experience with Machine
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-equilibrium physics. Topics of interest will include the following: dynamical phase transitions, entanglement, quantum coherence and information scrambling. The research will focus on a variety of spin-boson