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researchers and other collaborators, or may act independently, in planning and designing research experiments. Data collection, processing and analysis. May train research staff, graduate or undergraduate
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including education, publications, talks, and relevant experience. REQUIRED: PhD in math, engineering, computing, science, humanities, or social sciences with a minimum of eight years’ relevant experience
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instructional philosophy, and a CV including education, publications, talks, and relevant experience. REQUIRED: PhD in EECS, physics, computing, math, science, humanities, or social sciences with a minimum of
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philosophy, and a CV including education, publications, talks, and relevant experience. REQUIRED: PhD in business and/or management, engineering, computing, math, science, humanities, or social sciences with a
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or equivalent Skills/Qualifications Required skills : MSc degree in genetics, genomics, computational biology, bioinformatics, animal sciences or disciplines related to the PhD position Highly motivated with a
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Scheduled Hours 40 Position Summary The Ushiki Lab investigates the molecular mechanisms of transcriptional regulation and how noncoding genetic variation alters gene regulation in human disease
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Grade Level 49 Salary Range $72,405-119,496/year Type of Position Staff Position Time Status Full-Time Required Education PhD Click here for more information about equivalencies: https://hr.uky.edu
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
experience with some human genetic/genomic data sets (e.g. GWAS, QTL, Hi-C, ATAC, RNA-seq, etc) is preferred but not required. Minimum Education and Experience Requirements PhD Required Qualifications
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and 8 500 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition. Description of the workplace The position will be
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cardiovascular medicine. While genetic diagnostics have advanced rapidly, understanding the functional consequences of these variants and how to intervene requires robust human disease models. As a PhD candidate