55 advance-soil-structure-modeling Postdoctoral positions at The University of Arizona
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models, histology, cell culture, differential expression analyses, and molecular biology assays, our lab studies the molecular mechanisms that regulate metabolic processes and iron homeostasis both in
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diffusion models for synthesis of 5G/6G coverage maps, channel characterization, medical imaging, and RF signal synthesis. Study new reinforcement learning and DQN designs for beam tracking and management in
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. The ideal postdoctoral candidate will work both independently and in collaboration with members of our lab to work on in vitro cell culture systems and animal models. We are particularly interested in
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models. Analyze large proteomic datasets. Contribute to manuscript preparation and publication. Present research findings at lab meetings, departmental seminars, and conferences. Minimum Qualifications
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world-class observational and computational facilities for ground-based radio and optical observing. Start dates range from March 2026 to August 2026. Outstanding U of A benefits include health, dental
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mechanisms. Cutting-edge research models (eg. primary cell/organoid cultures, mouse models and human clinical samples) and technologies (e.g. scRNA-seq, CRISPR) are utilized in the lab. the PI is highly
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research models (eg. primary cell/organoid cultures, mouse models and human clinical samples) and technologies (e.g. scRNA-seq, CRISPR) are utilized in the lab. the PI is highly experienced in mentoring
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the Departments of Astronomy, Physics, Optical Sciences, and Planetary Sciences. We provide direct access to various world-class observational and computational facilities for ground-based radio and optical
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using ground/space telescopes. Publication of scientific results. Additionally, the successful candidate will be encouraged to: Design and lead exciting science programs in collaboration with the survey
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career scientist with background in organic geochemistry, statistics, and Bayesian modeling to pursue analyses of paleoclimate biomarker data. The ideal candidate should be proficient with both laboratory