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Degree After successful completion, candidates will be awarded a Doctor of Philosophy (PhD) or, if certain conditions apply, a Doctor rerum naturalium (Dr rer nat). Course location Braunschweig In
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general sociology courses, the successful candidate must be able to teach lower- and upper-level courses in Criminology, Sociology, and Criminal Justice, including courses in quantitative methods
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general sociology courses, the successful candidate must be able to teach lower- and upper-level courses in Criminology, Sociology, and Criminal Justice, including courses in quantitative methods
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general sociology courses, the successful candidate must be able to teach lower- and upper-level courses in Criminology, Sociology, and Criminal Justice, including courses in quantitative methods
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University. There are currently four faculty members, two specializing in model theory and two specializing in philosophy of mathematics. There are currently 13 master’s students and 5 PhD students in
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/or PhD students where relevant and even in other universities part of the Consortium and contribute to the academic life of the GID/GPIO department. We expect and encourage post-docs to teach 0,1 FTE
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. The post will be primarily based at Guy’s Campus. The successful candidate will work closely with Professor James Arnold (https://www.linkedin.com/in/james-arnold-1a0497263/ ) to support and further develop
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/en/available-jobs/job/294737/phd-research-fellow-in-reinforcement-learning-for-generative-systems-in-physics-at-the-inted-center Where to apply Website https://www.jobbnorge.no/en/available-jobs/job
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 8 days ago
year of undergraduate education, entering a two-year sequence in Year 3 and 4. The Instructor will teach a 3-credit, second-year sequence course in architectural history covering the mid-twentieth
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At the Technical Faculty of IT and Design of the Department of Sustainability and Planning, Copenhagen, a position as Postdoctoral researcher in Geospatial Machine Learning for Predicting Land Use