826 computational-physics "https:" "https:" "https:" "https:" "University of Kent" positions at Texas A&M University
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program, athletic department, and university. This position contributes to competitive success, student-athlete development, recruitment, and compliance with NCAA Division II, conference, and institutional
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and availability of funds, beginning Fall 2026. The successful applicant will be required to teach; advise and mentor graduate students; develop an independent, externally funded research program
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. Apply! Submitting a cover letter, resume/CV to assist us with the review process. You may upload these documents to the application under CV/Resume. Required Education and Experience Master of Science in
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admissions process. RESPONSIBILITIES Functional Area 1: Application & Transcript Processing Percent Effort: 65% Process applications and admission decisions, including file and transcript review. Ensure
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. Strong interpersonal and organizational skills. Ability to positively and professionally interact with clients and staff, groups of various sizes. Essential Duties/Tasks: Process Personnel Actions in
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integrity of all academic programs within the Division, including program and accreditation reviews, annual reports for new degree programs to supervisory boards, and curriculum development. Oversees
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and computational physics (including, for example, Multiphysics analysis of advanced nuclear reactors, radiation transport methods, and modeling of coupled phenomena). The search seeks candidates with
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based on the selected candidate's education and experience. What you need to do Apply! Submitting a cover letter, CV/Resume to assist us with the review process. You may upload these documents
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reporting definitions and metrics. Functional Area 4: Documentation & Process Support Percent Effort: 10% Documents reporting methodologies, definitions, and data sources. Supports continuous improvement
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synergistic with Data Engineering, including—but not limited to—industrial data infrastructure and pipelines, distributed and cloud computing, cyber-physical systems, real-time, multi-modal and streaming data