9 big-data-and-machine-learning-phd Postdoctoral research jobs at University of Oklahoma
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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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of leading their own projects, while working in a highly collaborative team environment. Applicants should have a willingness to learn new research concepts, approaches, and techniques. Under the training and
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analysis, prototyping, machine learning, or entrepreneurship is a plus. We focus on developing optical neuroimaging technology to study and treat brain diseases. We are devoted to applying novel neuroimaging
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-of-the-art facilities and well-resourced AMO laboratories, and an outstanding academic environment that includes a large team of experts in AMO physics, quantum science and precision measurements via atomic
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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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academic environment that includes a large team of experts in AMO physics and quantum science. Qualifications A Ph.D. in Physics or a closely related field is required. The initial appointment will be one
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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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. 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