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Science, Aarhus University, Agro Food Park 48, 8200 Aarhus N (Denmark). Contact information For further information about the project or the position, please contact the principal investigator and project
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emissions regulation. Key tasks: Designing survey experiments that test whether S-R affects public support for stricter government regulation. Developing experimental treatments. Managing data collection in
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Duties Designs and conducts histology and imaging analysis in animal models. Uses computational tools (R, Python, BLAST) for data analysis. Writes research papers for peer-reviewed journals. Presents
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-motivation, and contribute intellectually to the project. Job Duties Plans and conducts research experiments. Analyzes and interprets data. Report findings to the principal investigator. Participates in lab
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). Laboratory research in microbiology, virology, cell biology, molecular biology, biochemistry, immunology, or other related biomedical fields is a plus, as is experience with microbiome data analysis. What you
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, and chemical engineering Perform all other duties as assigned Additional information This position will remain open through November 30, 2025, or until a suitable candidate is identified. Review
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, instrumentation, modeling, and data science Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field(s) of materials science, physics, computational science, or a related field
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students. Minimum Qualifications MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications Ph.D. in Bioinformatics, Computational Biology, Computer
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
the Renaissance Computing Institute (RENCI), we use data, creativity, and inclusive teaming to revitalize how science is done. Fostering data science expertise and creating cyberinfrastructure isn’t just about