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new theoretical approaches to help understand our empirical data. We are looking for a postdoctoral researcher with a background in criminology, science and technology studies (STS), technology law, or
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practices through four case studies: LGBTQ+ health, artificial intelligence, abortion care and the physician associate. The project is underpinned by two theoretical pillars: the sociology of care and the
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range of observational and theoretical research and offers Master of Science and Doctor of Philosophy degrees, as well as a wide range of graduate and undergraduate courses. Together with our sibling
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observational and theoretical research and offers Master of Science and Doctor of Philosophy degrees, as well as a wide range of graduate and undergraduate courses. Together with our sibling units, the Canadian
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- sensitive data" and sent to the correspondence address: Lodz University of Technology, Department of Vehicles and Fundamentals of Machine Design, 1/15 Stefanowskiego St., 90-537 Lodz; Candidates will be able
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Video Production, and Media Management and Technology. The department has about 500 student majors and 16 full-time faculty. Students from the department pursue careers in film production, TV program
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 5 hours ago
be expected to contribute courses relevant to our new certificate program in Politics, Law and Social Justice (https://utm.calendar.utoronto.ca/program/ercer2015 ). The theoretical and methodological
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for a 1-year Interim Residential Coordinator (RC) to join our Student Life team. The Residence Life program at St. Lawrence includes a residential component to one of the nation’s oldest living-learning
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School of Electrical Engineering and Computer Science Full-time (100%), fixed-term position for up to 12 months, with the possibility of extension Base salary will be in the range $114,824.05
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Qualifications: • Ph.D. in biodiversity informatics, remote sensing of biodiversity, or related fields, and a strong background in implementing advanced machine learning and deep learning approaches, spatial