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an assigned region(s), in addition to supporting multiple projects and data analysis as assigned. JOB RESPONSIBILITIES Frequently meeting with legislators or staff about their policy goals, priorities and
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Sriperumbudur. Potential research projects include (but are not limited to) developing theory and methods for metric-valued (including functions, distributions) data analysis, optimal transport and gradient flows
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relationships; medical and community partnerships; and real time ecological momentary assessment of health via data from sensors, accelerometers, and smartphone technology. The successful candidate will join a
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. Designing and conducting empirical research. Collecting and analyzing data (both qualitative and quantitative) Preparing manuscripts and presenting research at local and national scientific conferences
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) Manage data base organization, data entry and data analyses, and as such, good experience to run longitudinal statistical analyses. 4) Manage the day to day study visits with all study participants. 5
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or disease modeling in R and/or Python statistics data analysis communication (written and verbal) This does not mean you need expertise in these areas but rather that you have some base knowledge upon which
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the Trolier-McKinstry laboratories, including equipment upkeep, data management, preparation of reports for research sponsors, and scientific outreach to the broader community. Education and Experience
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statement of research interests and goals. Please provide contact information for three references that can provide letters of recommendation. Materials can be sent to manuel@psu.edu . Dr. Llinás is the
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programming basics. Additional Information The start date is flexible, with September 1 2025 being the earliest date. Interested applicants should submit a pdf with a CV, a statement of research interests, and
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. Education and Experience: The position requires a Ph.D. in Biology, Ecology, Evolution, Entomology, Virology, Molecular Biology, or a related field. Competence with statistical software and data management