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d) excellent written, oral communication skills e) strong data analysis skills. Ideal applicants will also have experience with some combination of: a) Machine learning e) code optimization and
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for code and configuration (git) Familiarity with using Application Programming Interfaces (APIs) Familiarity with common tools for IT documentation and project management (Confluence, Github) Applications
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purchases subject to Uniform Guidance Experience with contract lifecycle management tools Working knowledge of Uniform Commercial Code Familiarity with eProcurement systems and processes Experience in a
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, multiscale modeling, molecular simulation code/software (e.g., LAMMPS, GROMACS), machine learning. Prior experience with applying simulations to biomolecular systems is a plus but not required. Applicants
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base code/scripts and troubleshoot/debug software Familiar with functionalities of custom software tools, such as Eyewire, Flywire, VAST, and OMNI Ability to discover and implement innovative tools
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. Ability to collaborate effectively within a team setting. Ability to run base code/scripts and troubleshoot/debug software Familiar with functionalities of custom software tools, such as Eyewire, Flywire
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acids, ligands), coarse-grain and polymer model development, multiscale modeling, molecular simulation code/software (e.g., LAMMPS, GROMACS), machine learning. Prior experience with applying simulations
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award terms, core University principles, policies and processes Familiarity with the application of the Federal Acquisition Regulation, Code of Federal Regulations, Federal circulars, and major agency
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for code and configuration (git) Familiarity with using Application Programming Interfaces (APIs) Familiarity with common tools for IT documentation and project management (Confluence, Github) Applications
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award terms, core University principles, policies and processes Familiarity with the application of the Federal Acquisition Regulation, Code of Federal Regulations, Federal circulars, and major agency