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and leadership in key academic areas. Learn more at https://www.uta.edu/administration/president/strategic-plan/rise100 . This is an exciting time to join UTA and contribute to its bold vision
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learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work Where to apply Website https
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time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC
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State University of New York University at Albany | Albany, New York | United States | about 1 hour ago
strong records of research accomplishments. More information about the SUNY Empire Innovation Program can be found here: https://www.suny.edu/eip/. The successful candidate is expected to develop
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, and MR spectroscopic imaging using machine learning; candidates with experience in these areas are encouraged to apply. PREFERRED QUALIFICATIONS: APPLICATION PROCEDURE: Apply online at https
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the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data
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comprehensive and competitive medical and dental care programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu
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programs Posting Summary We are seeking qualified adjunct clinical instructors to teach on a per diem basis in our continuing education program through the Center for Professional Development. We deliver a
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Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf | Germany | 11 days ago
Understanding (CASUS) is a German-Polish research center for data-intensive digital systems research. The Department of Machine Learning for Infection and Disease is looking for a Postdoc (f/m/d) on Generative AI
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will be considered). • Teaching Experience: Demonstrated experience teaching undergraduate courses, including core data science topics such as statistics, data visualization, and machine learning