77 programming-languages-"the"-"CNRS"-"U"-"UCL" positions at University of Southern Denmark in Denmark
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international politics at the IRP section focuses mainly, though not exclusively, on contemporary security issues. The researchers have a strong research profile and a dynamic doctoral training program and
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challenges through interdisciplinary collaboration, excellent training, and international engagement. DARA offers fellowships, training programs, travel grants, and events that create a thriving
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research. Excellent English communication skills, both written and oral. What do we offer? The Department of Public Health – We offer a dynamic and supportive academic environment, providing excellent
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mental illness. The ability to develop a translational research programme in one or more of the mentioned fields, with a focus on building cooperative, multidisciplinary teams that bridge basic science and
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project supported by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases”, led by Prof. Daniel Merkle. The expected starting
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teams. Excellent verbal and written communication skills in English. Preferred Qualifications: Familiarity with cryogenic electronics or experience working with low-temperature measurements (e.g., 4 K or
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teach and continuously develop mandatory and elective courses in the study programs of the Department (BSc and MSc in Biology, One-year MSc in Climate Adaptation), with topics including, for example
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robots, drones, IoT, smart grid, and healthcare. The section is a vital component of our educational programs in electrical engineering in Odense, offering Bachelor’s and Master of Science degrees in
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enthusiastic about contributing to the advancement and quality of the Physics and Technology education program offered by the institute and we will prefer candidates who bring experience in higher education
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(deep neural networks) Probability theory Computer vision Robotics Programming skills (Python, C++) and ML libraries (PyTorch, Tensorflow) Preferably, the candidate has experience with: Bayesian machine