108 programming-language-"St"-"St" positions at University of Southern Denmark in Denmark
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, and is committed to research-based teaching in the master programme in Population Studies. The Position We are seeking a highly skilled and motivated Data Manager to join our team. This role is central
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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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professor. The candidate should be able to teach/plan/manage courses related to material flow analysis, quantitative sustainability, life cycle assessment, techno-economic assessment, sustainable development
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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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experience and knowledge with animal models of disease are major requirements. Ability to work in a structured and independent manner. Good communication skills and high proficiency in English. Good
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commitment in a growing research group and are willing to work closely with industry partners. You are fluent in English, both spoken and written. Experience in national and/or European research projects is a
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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