109 electrical-and-computer-engineering-phd Postdoctoral positions at University of Washington
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experiments and publish papers, under the supervision of the PI on a project in the broad area of epithelial cell mechanobiology. Mentor PhD students, assist in lab organization, and perform lab duties as
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, graduate students and undergraduate students whose current activities include fundamental and applied aspects of quantum information science, simulations of dynamics and thermalization in quantum field
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required for this position. More About This Job Required Qualifications: PhD in Earth or Environmental Science, Civil/Environmental Engineering, Geography, Computer Science, or a related field at time of
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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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industrial engineering, systems engineering, computer science, electrical engineering, or a related field. · Strong background in machine learning or data analytics and hands-on experience handling big
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team, currently twenty members, which is led by three faculty members and three senior scientists. Our current research projects include the analyses of: Plasma, CSF and Brain Proteomic and metabolomics
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any previous postdoctoral experience. At the time of their appointment, candidates must have a Ph.D. in an applicable field such as geophysics, oceanography, computer science or engineering. The
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. - Biomedical Engineering, PhD or terminal degree or combination of education and experience may substitute for minimum education. - Neuroscience, PhD or terminal degree or combination of education and experience
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about exploring and applying new statistical, computational, or machine learning techniques to astronomical data sets, and extending current methodology to be applicable in the era of big data. Looking