136 assistant-professor-and-data-visualization Postdoctoral positions at University of Washington
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control subjects, and pregnant patients, and analysis of continuous time series data including signal processing, feature extraction, and statistical analysis. In addition to high-quality research
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UW. Interested candidates should submit a cover letter, CV, and contact information for 2-3 references. The preferred start date is January 1, 2026. This position is full-time (100% FTE), 12 months
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will work under the supervision of and in collaboration with Dan Eisenberg, Associate Professor of Anthropology. Ideal applicants will have broad interests in the evolutionary biology of living humans
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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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of scientific studies. Applicants with a strong background in computational biology are encouraged to apply. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis
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present results at conferences/workshops. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective
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expertise in EEG data acquisition and analysis, strong programming skills, and a passion for developmental neuroscience. Experience working with infants or young children is highly desirable. This will be a
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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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infant development. We seek a motivated researcher with expertise in EEG data acquisition and analysis, strong programming skills, and a passion for developmental neuroscience. Experience working with
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applicant will work closely with industry sponsors who will help to guide the project. The Elbert lab and the industry partner are interested in developing mechanistic, predictive models of neurodegenerative