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, development & scientific advice and provides educational programs and service to society. We are working to develop new environmentally friendly and sustainable technologies, methods and solutions, and to
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Seshadri. The Intelligent Transport Systems Section belongs to the Transportation Science division of the Department of Technology, Management and Economics (DTU Management) at DTU. The division conducts
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to conducting the study, writing scientific articles, obtaining funding and presenting research at national and international meetings, and training students - while carrying out the transition to becoming
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education within the department’s scientific areas. We educate both Bachelors and Masters of Science in Engineering and around 950 students are enrolled in our study programs. Furthermore, we also offer
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welfare for animals and humans. The activities form the basis for the research-based public sector consultancy and degree programs covering bachelor's, master's and PhD degree programs within animal science
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the framework of the CRUCIAL long-term field experiment. The candidate should possess the following qualifications Ph.D. in soil science or a related field (e.g., environmental science, agronomy, or geochemistry
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operators, transformers/LLM) and NN training. Strong Python programming skills (as a plus: C++ or Julia) and knowledge of scientific computing libraries (numpy, scipy, JAX…) and machine learning libraries
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The Department of Food Science at the University of Copenhagen (UCPH FOOD) is seeking a highly motivated postdoctoral researcher for a 2-year position, starting 1 September 2025, or as soon as
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the project. Qualified candidates should have: A PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as
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, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic