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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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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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. 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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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
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) develop and apply statistical genomic methods to analyze multi-omics datasets for understanding complex disease etiology and (2) develop and apply novel statistical models to analyze EHR data