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qualitative interview studies, surveys, register data, or experiments. Qualifications: Applicants will have completed a PhD in Management, Economics, or another related social science discipline before the
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related psychiatric traits. We have work based in the uniquely-informative Million Veteran Program dataset, and also make use of many other datasets, including our own Yale-Penn sample, Thai sample, and
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 9 days ago
. Description: The focus of this research opportunity is to prepare for the Dragonfly mission to Titan by developing a program to analyze analog samples using techniques that are relevant to the capabilities
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, which are to some degree absorbed and/or metabolized by gut microbiota. Characterizing food- and microbiota-derived molecules and determining their levels in biological samples from humans is essential
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Instructions Application Instructions Interested individuals should apply at https://indiana.peopleadmin.com/postings/34275 . A complete application includes: 1. Cover letter describing research interests and
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machine learning algorithms to support the traceability of the beef’s geographical origin. She/he will participate in all stages of the project, including planning and supervision of sample collection and
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qualifications and experience. To apply visit https://academicjobsonline.org/ajo/jobs/32755 and submit a cover letter, full CV, and contact information of three professional references. Applications will be
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: Christopher T. Rentsch, PhD, FISPE, [email protected] Website: https://medicine.yale.edu/internal-medicine/vacs/ Introduction to the Research Group The Veterans Aging Cohort Study (VACS) has been
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positions. https://www.epfl.ch/labs/entc/ Education You will work closely with Dr. Davide Bavato, head of EPFL’s recently established Entrepreneurship Education Hub. The Hub is developing a structured
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have generated extensive comparative genomics datasets (e.g., single-cell RNA-seq and ATAC-seq) across species, based on samples from our unique organ collections, and analyzed them using state