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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning
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Year's Day #very good compatibility private and professional life; offers of mobile and flexible work #PhD Buddy Program #free assistance program for employees (EAP) #corporate Benefits #office location in
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compatibility private and professional life; offers of mobile and flexible work #PhD Buddy Program #free assistance program for employees (EAP) #corporate Benefits #office location in the heart of the city of
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PhD position - Stress-testing future climate-resilient city and neighbourhood concepts (Test4Stress)
holidays between Christmas and New Year's Day #very good compatibility private and professional life; offers of mobile and flexible work #PhD Buddy Program #free assistance program for employees (EAP
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qualification program incorporating hybrid lectures, weekly seminars (hybrid and on-site), lab rotations and hands-on training; annual summer/winter schools and complementary skills workshops. TUD strives
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candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules
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suitability for the programme (e.g. demonstrated interest in misinformation studies, journalism studies and/or climate communication research). Essential Selection Criteria · Master’s degree to honours 2:1
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be expected to teach advanced courses in Artificial Intelligence—particularly in machine learning, statistical learning, natural language processing (NLP), symbolic AI, computer vision, and related
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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with Informatics and Their Application to Materials R25-11 Self-driving laboratory for materials science Research Environment Support up to 10 million yen depending on the research plan at the time of