111 structural-engineering "https:" "https:" "https:" "https:" "https:" "Washington University in St" Postdoctoral positions at University of Washington
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, or veteran status consistent with UW Executive Order No. 81 . Benefits Information A summary of benefits associated with this title/rank can be found at https://hr.uw.edu/benefits/benefits-orientation/benefit
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research environment on the UW Seattle campus, collaborating closely with scientists, engineers, technicians, and students at CENPA. This position is primarily associated with the PIONEER experiment, a next
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biochemistry, bioinformatics, single cell genomics, epigenetics, pharmacology and pathology. The Nelson laboratory website provides additional information: https://research.fhcrc.org/peternelson/en.html
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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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infant or early childhood populations Applicants should hold a PhD or foreign equivalent in developmental psychology, neuroscience, speech and hearing sciences, engineering, or a related field
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, engineering, and math (see http://advance.washington.edu/ ). Postdoctoral scholars are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria apply
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Executive Order No. 81 . Benefits Information A summary of benefits associated with this title/rank can be found at https://hr.uw.edu/benefits/benefits-orientation/benefit-summary-pdfs/ . Appointees solely
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, Communication Sciences, Psychology, Neuroscience, Engineering, Computer Science, or a related field is required. 2. Strong analytical skills and experience with programming language(s) (MEG analysis in our lab is
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Executive Order No. 81 . Benefits Information A summary of benefits associated with this title/rank can be found at https://hr.uw.edu/benefits/benefits-orientation/benefit-summary-pdfs/ . Appointees solely
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Developing models to represent structure in networks using low dimensional manifolds Modeling demographic and health trends in low-resource settings Developing a decision-making framework for policy decisions