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engine dynamometer experiments, including instrumentation, data acquisition, and test planning Develop and maintain physics-based modeling tools, including custom solvers written in MATLAB, Python, Fortran
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depend on the research group a successful candidate is associated with. Drs. Dickson, Feig, and Vermaas will expect that the researcher has prior experience with a programming language such as python and
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programming languages (C++, Python) and computer programs Organize the data flow for optimal use with AI/ML applications Keep FRIB physics application environment up to date by collaborating with EPICS
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analysis skills using R, Python, or equivalent tools for large-scale datasets Familiarity with large, multidimensional datasets (e.g., environmental, phenotypic, or genetic) Strong communication
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Gurobi and/or IBM ILOG CPLEX. Strong coding and data skills in Python and R for analysis and model pipelines. Clear, professional communication—strong academic writing and presentation skills; ability
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and Dissemination: Conduct statistical and genomic analyses using R, Python, and bioinformatics tools. Prepare manuscripts for peer-reviewed journals and present findings at scientific conferences
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variability and global change. Strong computational skills are required for this position. The candidate must demonstrate expertise in Python for handling large-scale geospatial datasets, developing scalable
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), Coastal Hydrodynamic modeling (FVCOM), nitrogen routing models, data analysis and visualization, writing and modifying scientific code in Python and/or Fortran are required. A recent publication using these
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-scale modeling using SWAT+ and APEX. Proficiency in programming languages such as Python and R for data processing. Background in applying AI/ML techniques to hydrology or water quality research. Strong
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, Python) Crash analysis experience Paper writing experience Project management experience Required Application Materials Cover Letter Curriculum Vitae (CV) Contact Information for three references Special