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Genetics to join our team. Our mission is to advance the understanding of the genetic architecture of complex human diseases and traits, enhance our ability to predict disease, target prevention efforts in
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well as compiling and presenting experimental results in the form of figures, tables, and written reports using appropriate software tools. Additional responsibilities include contributing to the preparation
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the preparation of proposals for new funding. Required Education: PhD in Materials Science and Engineering or a Related Field Additional Information: Location: Fontana Laboratories (1018) Position Type: Term (Fixed
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; modeling bumble bee species responses to climate change and human caused landscape alteration. Use analytical tools (Geneious and R software, or similar programs) to analyze and summarize genetic data
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to mentor graduate and undergraduate students within Dr. Donneyong’s research lab. Required Qualifications: A doctoral degree (PhD, ScD) in Pharmacoepidemiology, Epidemiology, Health Economics, Health
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should have demonstrated outstanding performance throughout their previous studies with their own publications. The successful candidate should hold a PhD in biomedical sciences with less than 3 years
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software program (e.g., R, STATA) Demonstrated experience accessing, preparing, and analyzing secondary data Strong interpersonal and communication skills, with the ability to collaborate effectively with
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of the Group, the Department, and the College Participate in developing and managing grant budget Monitor expenses Experience and Qualifications Required and/or Desired: PhD or equivalent degree required
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packaging mechanism as well as viral or exosome delivery technology. Required Qualifications PhD in chemistry, biochemistry, cell biology, or molecular biology. Strong oral and written communication skills
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disease (AD). Experience/Education A PhD in biological sciences, or a professional doctorate with experience in biomedical research required; background in vision research or training in ophthalmology is