24 computing-"https:"-"https:"-"CNRS" PhD positions at University of Southern Denmark
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Job Description A PhD position in computational pharmaceutical science is available at the Department of Physics, Chemistry and Pharmacy (FKF) at the University of Southern Denmark (SDU). The
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computational challenges. This PhD project will investigate novel registration strategies for ultrasound-derived musculoskeletal point clouds. The work will focus on developing geometry-aware alignment methods
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groups in light–matter interactions and nanophotonics, as well as to theoretical physicists in the Department of Mathematics and Computer Science. We collaborate closely with scientists of the ALPS II
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computing. The position offers an exciting opportunity to join a cutting-edge research project focusing on the co-design of CMOS and spintronic devices for next-generation energy-efficient and non-von-Neumann
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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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Job Description The Department of Mathematics and Computer Science at the University of Southern Denmark (Odense) invites applications for a PhD scholarship in computer science under the umbrella
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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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Promoting a Green Transition What we expect: The applicant should have completed a Master’s degree (MS / MSc / MTech / ME etc.) in Software Engineering, Information Technology, Computer Science, Artificial
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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