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Field
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, Genetics or a related field preferred. High degree of computer literacy including familiarity with word processing, spreadsheets. Experience with computer programming languages such as R considered an asset
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of machine learning and multivariate statistical techniques for interpreting large-scale hydrodynamic and climatological datasets. Strong programming skills (e.g., Python, R, MATLAB, Fortran) and familiarity
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for Students”. All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated). If you close the browser or exit your application prior to submitting, the application process will be
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for Students”. All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated). If you close the browser or exit your application prior to submitting, the application process will be
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technology. The successful candidate will provide research and development (R&D) leadership to the group that strategically advances science and technology focused on gas testing of prototype enrichment
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
USNH Employees should apply within Workday through the Jobs Hub app Position for a graduate student or adjunct to analyze ground magnetic field perturbations using machine learning techniques
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their team of professionals. Duties to include: Performs data collection, data processing, and report writing. Interacts and collaborates with staff working on projects in a team environment Lab
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with research studies or the equivalent combination of education and experience. Computer literacy and proficiency (minimum with Microsoft Office). Ability to communicate effectively verbally and in
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engine’s effectiveness (e.g. running experiments or user studies to assess learning outcomes). Documentation: Help document the system design, development process, and experimental results for project
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Retirement Plan Options Paid time off Paid Holidays All UT Dallas employees have access to various professional development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and