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Postdoc: Machine learning for wind flow prediction in coastal dunes Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 6
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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postdoctoral research position (1-2 years). Collaborative research environment across disciplines of neuroscience, exercise physiology,biology, and biomechanics. Access to cutting-edge neuroimaging (EEG, TMS
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to work both independently and collaboratively in a research team. ● Excellent written and oral communication skills in English. Brief Description of Duties: The Postdoctoral Associate will assist
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, analyse the resulting multidimensional datasets, publish the results and collaborate closely with the supervisory team and colleagues. This is what we ask of you You enjoy experimental research and want
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homeostasis in brain physiology and how its disruption impairs neuronal biology, ultimately, to identify novel therapeutic targets. To learn more about our research and collaborations, visit https
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theory and application of temporal reasoning and ultrasound video analysis from the human-AI collaboration (HAIC) perspective. You will be part of the Noble research group at the Institute of Biomedical
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physics, applied mathematics, computational science, machine learning, and control engineering. Current collaborations involve major fusion facilities and research programs, including DIII-D (San Diego, CA
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
systems, the lab investigates how astrocytes acquire their complex morphology, how astrocyte-neuron interactions are regulated during development, and how astrocyte dysfunction impacts neural circuit
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computational innovations to enhance model efficiency, architecture, and performance. ● Collaborate on additional projects using text and vision models building on their own research interests. ● Co