173 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation"-"Simons-Foundation" positions at The University of Alabama in United States
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Leadership. The Department focuses on the development of educational leaders in different fields and houses programs in Educational Leadership, Higher Education Administration, Instructional Technology, and
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enrolled in a UA degree program and meet minimum credit hour requirements during the academic year: Undergraduate Students must be registered for at least 6 credit hours during fall/spring semesters
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classroom teaching experience are expected. Applicants should be eager to work with students in both the undergraduate and master’s programs and have interest and expertise in reaching our diverse student
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at both the undergraduate and graduate level in the faculty member’s area(s) of expertise as well as to teach courses that support the delivery and accreditation of the Department’s core degree programs
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• Collaborate in further development of innovative undergraduate and graduate grades PK-6 mathematics education courses and programs • Collaborate with local schools and school systems • Provide service within
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undergraduate student. Punctual. Ability to work at least 2 shifts per week. Skills and Knowledge: Excellent verbal communication skills. Ability to quickly learn new computer programs. Ability to work
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related to their field of interest. The primary responsibilities for this are teaching and teaching related service (including serving as the Undergraduate Program Coordinator and coordination of GEO 101
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. Responsibilities: • Cultivate a pre-existing externally funded research program • Direct graduate student theses and dissertations • Teach undergraduate and graduate courses in exercise science and related areas
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-Tenure-Track) to begin August 2025. This is not a remote position. Primary responsibilities will include: (1) Develop and teach practice and clinical courses in our MSW Program (main campus and online) and
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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