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a pivotal role in the success of our academic support programs within the OSSE department. This position involves supervising key program managers and specialists, identifying at-risk students
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entities endeavoring in Human Flourishing, within academics, non-profits, churches, governmental entities, and in business Coordinate and collaborate with the Human Flourishing Program at Harvard, including
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Educator Preparation Program. The individual hired for this position will serve the Office of Undergraduate Education in the capacity of a liaison between the university and assigned partner school district
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. A Doctorate Degree is required. A Doctorate Degree in Computer Science or STEM related field and two years of relevant AI experience is preferred. This position has an anticipated end date of July 1
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Job Description What We Are Looking For Baylor University has an Electronic Resources and Serials Cataloging Support position in which the incumbent will play a vital role in maintaining accurate and efficient cataloging of electronic resources and serials within the university's library system....
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responsible for Leadership and Strategic Initiatives, Program Management and Evaluation, and Student Support. A Bachelor’s Degree and three years of relevant work experience in an advising capacity in a higher
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the Texas lead for the Flourishing and the Church program (led out of Harvard) Leverage deep knowledge of the church and of pastoring to ensure the approach is achievable, communication is
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within Irksome. A Ph.D. in applied mathematics, computer/computational science, or a related discipline and knowledge of finite element methods and scientific computing is required. Prior experience with
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the School of Engineering and Computer Science (ECS), Graduate Business Programs, Robbins College of Health and Human Sciences, and the sciences within the College of Arts & Sciences (CASA). Other STEM majors
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, the research group has a strong program in the synthesis and application of chemical probes in complex biological systems, with an emphasis on measuring probe labeling and phenotype-driven cell selection using