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educator in statistics and/or modern data analysis (including ML/DL). Research scope – expertise in any of the following areas • statistics, data analysis, and information theory, • machine learning, deep
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for a pool of qualified Part Time Faculty to teach courses in a variety of disciplines across all 10 colleges and schools. Individuals may enter expressions of interest by submitting their credentials
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Government of Canada | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | about 1 month ago
to contribute to Foundations of Machine Learning research focus. Strategic Researchers at TIMC work on a variety of complex challenges and they draw on a variety of tools including deep mathematical theory and
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future. Fuelled by curiosity and a deep sense of responsibility, they provide invaluable contributions to research and teaching, thus enriching our society. Are you also inspired and driven by the desire
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future of our employees. From robust health benefits to generous retirement contributions and an array of family-friendly programs, Duke invests in every member of our community. Learn more at: https
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positive environment to grow and groom future business leaders. And we are looking to add to our BIZ family! To learn more about the NUS Business School, please visit https://bschool.nus.edu.sg/ Job
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website at: http://www.nyu.edu/about/careers-at-nyu.html . NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/nyugreen. NYU is an Equal
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of Dr. Li An, is seeking an undergraduate research assistant. The successful candidate will work with scientists and students to train deep learning models for detecting and identifying animal species in
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those related to climate change, forest health, and sustainability. Teach undergraduate and graduate courses that appeal to students across natural resources and forest management. Advise and mentor
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on the range. To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html Department Description