50 materials-science-and-engineering Postdoctoral positions at University of Washington
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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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collaboration with Dan Eisenberg, Associate Professor of Anthropology. Ideal applicants will have broad interests in the evolutionary biology of living humans and/or non-human primates. Job duties will be adapted
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Institute for Learning & Brain Sciences (I-LABS) has an opening for a bilingual (Spanish-English) post-doctoral researcher interested in bilingual language development in young children. We are focusing
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equivalent) at the time of hire in Microbiology, Cell Biology, Biochemistry, Bioengineering/Biomedical Engineering, Biophysics, or related fields, and 1 or more years of experience in flow cytometry
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a multiallelic marker panel for routine application in GMR. The project spans population genomics, fisheries ecology and management, as well as fundamental and applied science, and will receive input
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DNA in easily accessible urine samples. Our recent work is getting significant attention from clinical researchers and technology developers, and we aim to advance our collaborations and develop
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, as well as fundamental and applied science, and will receive input from a range of stakeholders (e.g. NOAA, ICCAT, DFO). The PDRA will work within the Marine Ecology Research Lab, a large lab
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and prevent preterm birth. The lab uses innovative and cutting edge experimentation and relies heavily on bioinformatics and biomechanical systems engineering. Job Description Primary Duties
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accumulation. The lab seeks to understand the structural-property relationship in polymers through molecular engineering, structural engineering, and advanced characterization across scales. With these insights
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Qualifications: PhD in Environmental Engineering, Environmental Chemistry, Analytical Chemistry, Environmental Science, and/or other aligned discipline. Operation and optimization of LCMS and/or GCMS