898 computer-science-programming-languages-"St"-"ST"-"FEMTO-ST" positions at Texas A&M University in United States
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program development and record keeping. What you need to know Salary: Will be commensurate based on the selected hire’s education and experience. Special Instructions: A cover letter, resume, and contact
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collaborations within the College of Agriculture and Life Sciences and beyond. The holder of the advertised position will maintain a research program and pursue external funding opportunities while teaching and
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assistance for completing a degree while a Texas A&M employee Living Well, a program at Texas A&M that has been built by employees, for employees Instructions to Applicants: Applications received by Texas A
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Psychology (MSIOP) program, support MSIOP students through professional development and mentoring, and act as an engaged citizen of the department, college, university, and their field. The Department
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Living Well, a program at Texas A&M that has been built by employees, for employees Instructions to Applicants: Applications received by Texas A&M University must either have all job application data
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physics, and ultrafast lasers. Knowledge of scientific programming language(s) and computer simulation. Salary: Compensation will be commensurate based on the selected hire’s education and experience
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formatting, etc. Writing, editing and proofreading of correspondence, memorandums and various documents for Department Head, Graduate Program Director and faculty as needed. Utilizes Microsoft Word and Excel
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physics, and ultrafast lasers. Knowledge of scientific programming language(s) and computer simulation. Salary: Compensation will be commensurate based on the selected hire’s education and experience
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. The college was formed from three departments/programs spread across the university: the Department of Visualization, the Department of Performance Studies, and the Dance Science Program. The mission of PVFA
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Statistics or Statistical Forensic Science. Evidence of interdisciplinary research and focus on computational aspects is a plus. The Department of Statistics has a tradition of outstanding methodological