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Field
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. Performs other duties as assigned. POSITION QUALIFICATIONS: MINIMUM: This position requires a Bachelor's degree in an engineering discipline, Computer Science, Data Science, Mathematics, Physical, Materials
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. POSITION QUALIFICATIONS: MINIMUM: This position requires a Bachelor's degree in an engineering discipline, Computer Science, Data Science, Mathematics, Physical, Materials, Chemical, or Biological Sciences
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. POSITION QUALIFICATIONS: MINIMUM: This position requires a Bachelor's degree in an engineering discipline, Computer Science, Data Science, Mathematics, Physical, Materials, Chemical, or Biological Sciences
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Workstudy Position: No Job Type: Regular Work Shift: Day Shift (United States of America) Sponsorship Available: No Institution Name: Arkansas School for Mathematics, Sciences and the Arts Arkansas’ Premier
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engagement that are the foundation of a land-grant university. The College embraces instruction and research, in disciplines ranging from the physical, mathematical, statistical sciences to the life sciences
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parameters. 2. Performs mathematical computations. 3. Performs data entry. 4. Interprets high school transcripts, college transcripts, and college examination test scores. 5. Reads and grades essays. 6
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Statistics or Applied Mathematics (foreign equivalents acceptable); 36 months of experience in healthcare predictive analysis. Experience must have included work with all of the following: discrete event
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and conflict resolution. What you will need: Bachelor’s degree in any discipline from an accredited institution with a minor in mathematics. Candidates for consideration may also have a bachelor’s
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advanced statistical techniques and mathematical analyses. 3. Manage analytical projects from data exploration, model building, performance evaluation, through implementation. 4. Develop work plans and
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the University of Tennessee and Oak Ridge National Laboratory in 2021, in response to America's need for a stronger pool of science, technology, engineering and mathematics, and increasingly life science talent