128 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "inserm" positions at University of Southern Denmark
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) Bayesian machine learning Robotics Control systems Programming skills (Python, C++) and ML libraries (PyTorch, Tensorflow) Preferably, the candidates have experience with: Computer vision Experimental design
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of the following topics: Analog signal processing and circuitry Programming skills (particularly in C++, Python and ROS) Algorithms (statistical analysis) Electrode-tissue interface modeling Robotics (e.g
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a M.Sc. in chemistry (for 5+3 programme). Candidates close to defending their M.Sc. thesis are also welcome to apply (M. Sc. defence must be completed prior to start date for the 5+3 program). We
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. This program focuses on management of technology and value-creating digital transformation as well as the relationships between digital technologies, creativity, and knowledge creation. Emerging Technologies
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contexts and to the broader public (Danish is an advantage but not required) Present research results at international conferences Possibly contribute to teaching programs (in consultation with relevant
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philosophy at both BA and MA level, alongside active engagement in study programme related activities and curriculum design. Qualifications The successful applicant must: Hold a PhD or similar qualifications
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letters. Closing date Feburary 28th 2026 Successful candidates will be asked to send an application to the PhD Secretariat, Faculty of Health Sciences, to be enrolled as PhD students. The PhD programme will
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study programme. List of publications and maximum 2 examples of relevant publications (in case you have any publications). References may be included, you're welcome to use the form for reference letter
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include research, teaching and supervision. Focusing on probabilistic modelling of existing structures, the successful candidate will carry out research related to the new research programme called Civil
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at a competitive salary and will follow the PhD study program at the Faculty of Science . Candidate Profile An ideal candidate has a background in/or experience with one or more of the following topics