13 big-data-and-machine-learning-phd Postdoctoral research jobs at University of Oklahoma
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with observations from large surveys and optical/near-IR telescopes including SDSS-APOGEE, GALAH, GECKOS, and the upcoming 4MOST project. We encourage applications from all who have interests, skills
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research scholar to work with Dr. Nikki Nielsen on projects focused on the circumgalactic medium of local galaxies up to cosmic noon. The growing CGM team primarily works with observations from large optical
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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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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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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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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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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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- 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