1,310 programming-"the"-"DAAD"-"EURAXESS"-"IMPRS-ML"-"O.P"-"Prof" positions at University of Texas at Austin
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the design, development, delivery, rigorous evaluation, adaptation, and implementation of prevention and/or early intervention programs that promote the health and well-being of individuals and their families
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program and to further develop our gene editing research efforts. Responsibilities Collaboration and Communication: Collaborate effectively with other members of the research team, actively participating in
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, researching, and testing state-of-the-art algorithms applicable to a range of projects. Documenting research in form of publications and reports. Develop and maintain sponsor relationships and programs. Develop
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, within the last 3 years, in oceanography, ecology, computer science or related discipline Demonstrated proficiency in a programming language, along with strong computational and quantitative skills in
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(China/Greater China; Korea; Japan). The successful candidate will have the opportunity to contribute to interdisciplinary programs in the College of Liberal Arts, such as the International Relations and
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), serving in the doctoral program in Arabic Linguistics (including training and supervising graduate students), and meaningfully contributing to related programs including Arabic Literature, Middle East
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the world. The University of Texas at Austin, founded in 1883, ranks among the 40 best universities in the world with top national programs across 19 colleges and schools. By creating educational
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the world. The University of Texas at Austin, founded in 1883, ranks among the 40 best universities in the world with top national programs across 19 colleges and schools. By creating educational
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punctual attendance pattern Other related functions as assigned. Required Qualifications Doctoral degree in Medicine (MD or DO) Completion of ACGME Residency Program in the United States Current Board
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interdisciplinary programs in computational sciences and engineering, computational medicine, computational geosciences, mathematical modeling, applied mathematics, data science, software engineering, and