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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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language such as python and Unix-based operating systems such as MacOS or Linux. These tools are essential to set up, carry out, and analyze molecular simulation trajectories, and to interact with high
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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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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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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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to have substantial experience with statistical analysis and data management in R, Python, or Stata, as well as spatial analysis software. They are expected to bring particular interest in interdisciplinary
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Qualifications Day to day, the expectation is that the researcher will be expected to learn or have prior experience with a programming language such as python, Unix-based operating systems such as MacOS or Linux
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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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-oriented analysis and design. Fluency in Python and SQL. Ability to grasp a variety of spatial and temporal data formats. Familiarity with or ability to learn to work with legacy code in FORTRAN, shell
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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