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Field
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manipulation and analysis including experience with creating and using complex models in Simulink & scripting in Matlab, Python, R. This position requires an on-site presence at the Argonne campus in Lemont
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) experience in code development with parallel programming techniques using the message passing interface (MPI) library Proficiency in writing code with C, C++ and/or Python Ability to demonstrate strong written
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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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. Proficiency in programming (e.g., Python, R) and familiarity with common bioinformatics tools and packages. A PhD in developmental biology, cell biology, regenerative medicine, or a related field. A required
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background and research experience in: generating and maintaining mammalian cell lines; experience in image analysis using Python or MATLAB; experience utilizing high-resolution optical imaging; experience
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(meteorological, hydrological, hydraulic, traffic, LiDAR, and DEM/BLE datasets). Build reproducible pipelines in Python/R/Julia/SQL for big data geospatial applications. Utilize cloud and HPC resources for model
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scripting and/or programming skills in languages such as R, Python, and/or Fortran. Communication & Professionalism: Strong communication skills (written and verbal) and a proven ability to work effectively
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epidemiologic methods for environmental ‘omics and related software packages, including R, SAS, Python or equivalent. Previous experience analyzing large DNA methylation datasets, bioinformatics, and use
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, REGFMB1, vendor-provided models) is a plus. Experience with software development in Python, C++, or other programming languages. Hands-on experience developing automated tools for accelerating contingency
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Science, Computational Biology, Bioinformatics, or a closely related field. Experience with computational modeling, statistical programming (Python, R, MATLAB), or machine learning. Experience working with large datasets