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and Transport Systems Laboratory, equipped with cutting-edge technology that supports research in autonomous transport, decarbonisation, machine learning, travel behaviour, air transport management, and
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national and international research networks. We are looking for someone with a PhD (or near completion) in a relevant field such as machine learning, biomedical engineering, or neuroscience, with expertise
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University of California, San Francisco | San Francisco, California | United States | 26 minutes ago
education program learners. Coordinates program operations, which include teaching and learning activities, program curriculum, learner scheduling, and reporting education data, maintaining databases
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the environment of a large international science collaboration Familiarity with machine learning techniques For a full list see the job description The opportunity to continue your career at a world-leading
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will play a leading role in the analysis of large and complex genetic and electronic health records datasets with a range of Statistical and Machine Learning approaches, whilst leading a broad range of
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established scholar with a doctoral degree (or close to completion) in Statistics, Business Analytics, Econometrics, Machine Learning or a closely related field; (2) have the ability to teach any undergraduate
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College of Computing Key duties: Successful candidates are expected to have the capacity to: Teach graduate students in areas like algorithms, programming languages, machine learning, operating systems
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departments, and a thriving ecosystem of museums, libraries, and research centres. At Cambridge, our mission is to contribute to society through world-class education, learning, and research. With a deep
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and teach upper-division courses focused on international political systems and issues for the online Bachelor of Arts in Social Sciences (BASS) program. Topics may include globalization, climate change
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continuous programme improvement. Participate in educational initiatives and activities to enhance student learning outcomes. Requirements: A PhD or a Master’s degree (with significant industry experience) in