115 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "UNIV" positions at University of Southern Denmark
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development through the Lecturer Training Programme and mentoring. An open and collaborative research culture within SDU’s Faculty of Engineering (TEK), promoting interdisciplinary innovation across electronics
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equivalent qualification) in physics or a closely related field is required, or for a 4‑year integrated Master’s and PhD program. Essential qualifications include: a strong motivation for fundamental research
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. The successful candidate will join a growing research program focused on non-ionising imaging technologies for quantitative assessment of musculoskeletal function. BEC is committed to developing engineered
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an ongoing research programme on physician leadership and will be carried out in close interaction with relevant stakeholders and practice partners. It is highly recommended that interested candidates contact
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of Engineering, SDU The Faculty of Engineering at SDU offers an attractive 4‑year tenure track programme for promising scholars with strong research achievements and high potential for reaching an international
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Programme and mentoring. An open and collaborative research culture within SDU’s Faculty of Engineering (TEK), promoting interdisciplinary innovation across electronics, materials science, and artificial
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colleagues and a formalized teaching and training program focusing on methodological as well as transferable skills, including dissemination, collaboration, and work planning CPPEM as a whole spans research
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Technology, Computer Science, Artificial Intelligence, Data Science, Robotics or any other relevant field, at the time of admission into this PhD program. Students currently enrolled in Master’s programs can apply, provided
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Job Description In order to expand the Centre for Visual Data Science , the Department of Mathematics and Computer Science at the University of Southern Denmark, Odense, invites applications for a
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study programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: Advanced deep learning architectures Mathematical foundations