23 data-scientist Postdoctoral positions at University of Washington in United States
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occasional travel and a requirement to spend a few months a year at our secondary location, Riverside, California. We are seeking a postdoctoral candidate with experience in EEG data acquisition and analysis
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development. More information about I-LABS can be found at: (http://ilabs.washington.edu ). Candidates from underrepresented groups, including candidates with disabilities, are encouraged to apply. You will be
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agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website. The position has an anticipated start date of October 1, 2023
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with a group of highly motivated scientists to employ interdisciplinary approaches such as retinal cell biology, functional genomics, imaging, and biochemistry. The Chen Lab has a well-recognized
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the next generation of molecular assays and point of care collection devices. We are seeking a scientist who is self-motivated, well organized, and experienced working with biological samples. The ideal
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conditions, and brain tissue microstructure and functioning. The successful candidate will be working within a multi-disciplinary team of MRI physicists, computer scientists, radiologists, neuroscientists, and
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: Interest in collaborating with diverse groups, including bluefin industry organizations, ICCAT, NOAA, and University scientists Proficiency in statistics and data analysis Experience with the application
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Position Summary The laboratory of Dr. David DeNardo at WashU Medicine has an opening for an enthusiastic, inquisitive and creative postdoctoral scientist. The candidate will conduct research in
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collaborating with diverse groups, including bluefin industry organizations, ICCAT, NOAA, and University scientists Proficiency in statistics and data analysis Experience with the application of genomics in
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Description The Department of Earth and Spaces Sciences at the University of Washington seeks a Postdoctoral Scholar to work on numerical simulations and data analysis to inform the search for life