76 phd-computational-intelligence Postdoctoral positions at University of Washington in United States
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transportation technologies and intelligent transportation systems, (2) data analytics with applications to problems in transportation systems, and (3) transportation equity and sustainability. The postdoctoral
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the cross-campus Astrobiology Program , and the postdoctoral scolar would be part of this broader interdisciplinary environment. We seek a postdoc who would make the most of available collaborative
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Program , and the postdoctoral scolar would be part of this broader interdisciplinary environment. We seek a postdoc who would make the most of available collaborative opportunities. Responsibilities: Write
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. Qualifications Required Qualifications: Completed PhD in biomedical engineering, electrical engineering, physics, or a medical imaging related field. Experience with developing advanced pulse sequences
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exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website . Required Qualifications: Completed PhD in biomedical engineering, electrical engineering
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the cross-campus Astrobiology Program , and the postdoctoral scholar would be part of this broader interdisciplinary environment. We seek a postdoc who would make the most of available collaborative
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scientific papers, and contribute to the overall preparation of research for publication. To assist in the training of PhD and undergraduate students. Working Conditions: This position works in a laboratory
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communication skills and the ability to collaborate effectively in a multidisciplinary team Enthusiasm for longitudinal research and working with infant or early childhood populations Applicants should hold a PhD
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-of-use water filter during use. Methods are expected to use LC-MS/MS and GC-MS workflow. These methods would be applied for laboratory testing and in a pilot testing program. Job Description Primary Duties
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, predictive models of neurodegenerative disease with a focus on Alzheimer's Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical