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Position Overview The Department of Ecology and Evolutionary Biology invites qualified Ph.D. biologists to submit applications, which will be reviewed by individual faculty members and placed in a pool for
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patterns of evolutionary conservation—TRIM-based PQC in animals and polyD/E-based PQC across eukaryotes—distinguishing them from established PQC mechanisms. Ongoing studies aim to define the molecular
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to work) in reduced order modeling, Causal inference and High Performance Computing are desirable. We particularly encourage applicants with expertise in Multi-scale Modeling, Evolutionary Computation
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investigating gene-environment interactions, chemical susceptibility, and effects of exposure on evolutionary processes with a focus on emerging contaminants such as PFAS. Research integrates Caenorhabditis
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ongoing projects. 80% Research and data analysis Design and conduct research in genetics, genomics, or molecular biology, with a focus on complex trait genetics, gene expression regulation, or evolutionary
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
evolutionary questions in mosquito genomes; 4) examining the dynamics of evolutionary models (e.g. the evolution of therapeutic resistance in cancer) via simulation and/or analytical theory. Minimum Education
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Associate - Immunobiology Posting Number req26581 Department Immunobiology Department Website Link https://immunobiology.arizona.edu/ Location Tucson Campus Address 1656 E. Mabel Street, Tucson, AZ 85721 USA
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. The mission of the Srivatsan Lab is to develop sequencing tools to understand how biological systems are constructed and how these constraints shape subsequent evolutionary trajectories. Further
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to have a Ph.D. or equivalent in evolutionary biology, genomics, or related fields. Candidate must have excellent computational and bioinformatic skills as well as strong experience with next-generation
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research grants. These goals include learning about demographic history or natural selection from genetic variation data, or understanding genetic architecture and evolutionary history of complex traits in