24 computer-programmer-"https:"-"https:"-"RTU---Riga-Technical-University" PhD positions at University of Southern Denmark in Denmark
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position please contact Associate Professor Casper Steinmann (steinmann@sdu.dk ) To read more about the PhD program at the Department of Physics, Chemistry and Pharmacy, read more here . Starting date: 1
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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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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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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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programming. The candidate must be independent and fluent in English both oral and written. The position is for a PhD student under the 5 plus 3 program, read more here . For more information about the position
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. The positions are part of the Microbial Electrochemical Methanation Initiative, a large collaborative research program funded by the Novo Nordisk Foundation (50 million DKK) with academic partners at DTU
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Intelligence, Data Science, Robotics or any other relevant field, prior to receiving admission into this PhD program, i.e., we accept applications from candidates expecting to finalize their studies within
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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