44 evolution "https:" "https:" "https:" "https:" "https:" "https:" "BioData" Fellowship positions at Indiana University in United States
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three interdisciplinary labs: the Research Development Lab, Applied Humanities Lab, or Humanities in Community Lab; and Participate in departmental workshops, symposia, and community-engaged events
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review the application requirements and submit their application at https://indiana.peopleadmin.com/postings/30783 . Basic Qualifications PhD or equivalent terminal degree in exercise science, kinesiology
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mentorship from faculty investigators toward the development of an independent program of research. Opportunities to become involved with other areas of work will arise during the position, including support
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facilities include a low-energy neutron source (LENS) available for neutron detector development and testing, high-bay facilities for large-scale fabrication, professional and student machine shops, a
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– from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and genomics. It is always an exciting time for
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Interested applicants should submit the following materials to https://indiana.peopleadmin.com/postings/31264 . Applications will be accepted until the position is filled; however, priority review will begin
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years. For additional information on life in Indy: https://faculty.medicine.iu.edu/relocation Basic Qualifications Doctorate or terminal degree required. Applicants must hold a bachelor or PhD (or MD
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of Medicine, and study normal and pathological development of the human inner ear using stem cell-derived organoids as a model system (Koehler et al., Nature Biotechnology 2017; Nie et al., Nature
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to the IU retirement benefit package. We are interested in exploring the novel functional dimensions of human long non-coding RNAs (lncRNAs) in regulating human cardiovascular development, metabolism
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. This position will be involved in a combined applied and methodological genetics project. This project will focus on the development and implementation of ancestry (admixture) based detection and characterization