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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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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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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
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) experimental-data-informed, machine-learning-enabled benchmarking and development of land carbon cycle in earth system models; (P2) grassland microbiome responses to climate change, nutrient addition
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. Please provide the following: a cover letter specifying the earliest date to start the position, CV with a list of publications, and the information of at least three references. Review of applications