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to agriculture and precision medicine, population genetics, and integrative genomics. QGG is located at the central campus in Aarhus and at the AU Flakkebjerg campus in newly renovated offices with well-developed
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Range $62,232/yr Type of Position Staff Position Time Status Full-Time Required Education PhD/ ScD, DrPH Required Related Experience Population health/ public health, specifically using quantitative
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research worldwide and reduce the burden of cancer in our catchment area. By engaging with and empowering our exceptionally diverse populations, and addressing their questions and fears, we will engender
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of São Paulo (UNIFESP), in Brazil, aims to investigate how CRISPR-Cas9-mediated genetic modification of Invariant Natural Killer T (iNKT) cells can modulate their antitumor activity and therapeutic
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and museomics Strong bioinformatics skills Proficiency in command-line scripting and programming Knowledge of phylogenomics and population genetics Why conduct a postdoctoral project at the University
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of therapeutics and diagnostics in large populations. The mission of the center is to advance pharmacoepidemiology and related fields by conducting world-class research and facilitating high-quality training. PETS
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, computer science, statistical or population genetics, or a related discipline), and a strong motivation to work on problems in genetics and you will also have relevant coding experience with producing high-quality
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. statistics, mathematics, computer science, statistical or population genetics, or a related discipline), and a strong motivation to work on problems in genetics and you will also have relevant coding
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Posting Information Posting Details Department Genetics - 423501 Posting Open Date 03/10/2026 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title Post-Doc
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potential of genetic discovery. We have access to extensive biosample collections and use advanced omics technologies and genetic-epidemiological methods on human study populations to identify molecular