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degree in Artificial Intelligence, Computer Science, Mathematics, or related discipline; A strong interest in developing creative solutions to advance hyperbolic deep learning; A background in machine
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Search’ to identify your programme of study: · search for the ‘Course Title’ using the programme code: 8040F · select ‘Civil Engineering (full time) – 8040F' as the programme of study You
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Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8030F select ‘PhD Chemical Engineering (full time)’ as the programme of
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Requirements: university degree (MSc or equivalent) in the field of aerospace engineering, physics or similar solid knowledge of Physical and Analytical Chemistry (phase changes), Computer Science and
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Power and Energy, Electrical Engineering, Computer Science, or Operations Research. While this is our standard entry requirement, we also place strong value on prior experience, enthusiasm for research
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physics, materials science, computer science or a related discipline background in one or more of the following areas is desired: X-ray or electron imaging techniques, and image processing proficiency in
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the Informatics Institute, in particular, Intelligent Data Engineering (INDElab) group, and their activities; assist in educational activities and supervision of bachelor and master students; complete and defend a
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Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8090F select Mechanical & Systems Engineering (full time)' as the
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented
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Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code:8090F select ‘PhD Mechanical Engineering (full time) – 8090F' as the