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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
modelling, and/or gene-environment interaction studies would be beneficial but not required. Prior training and experience with R or Python, manuscript and grant writing, project management, and ability
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simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go
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members and collaborators. For additional information about the Liao research group, please visit: https://sites.google.com/view/chentingliao/ Department Contact for Questions: Questions regarding
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: agrivoltaics, ecovoltaics, solar PV performance modeling, biophysical/crop modeling, or techno-economic assessment (TEA) Advanced proficiency in Python or a similar scientific programming language, with a focus
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productivity (publications, presentations, software, system prototypes) Strong analytical and computational skills (e.g., Python, R; simulation or optimization tools) Experience working with real-world datasets
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on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . For more information on the lab please visit https://milbrandtlab.wustl.edu/ . Working Conditions
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proposals to advance their scientific career. More information about the Department of Applied Physiology and Kinesiology can be found here: http://hhp.ufl.edu/about/departments/apk/ Expected Salary
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insurance and a UC retirement plan. Salary is commensurate with the applicant’s qualifications and experience. Department: https://msi.ucsb.edu/ Qualifications Basic qualifications (required at time of
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programming in R, Julia, or Python ● Experience with participatory agent-based modeling ● Finalize manuscripts not associated with this project ● Participate in training and professional development
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audiences Strong coding skills, preferably in Python Familiarity with computational tools for modeling biological systems. IMPORTANT: Applications must also be submitted online at https://isu.wd1