31 parallel-computing-numerical-methods PhD positions at University of Southern Denmark in Denmark
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-established collaboration with clinical environments. The department offers modern laboratory facilities, employs advanced molecular and cellular methods, and provides a stimulating, inclusive, and ambitious
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robotics, embodied AI and neurobotics, wearable robotics, and bio-inspired control. SDU Soft Robotics is a leading research group within SDU Biorobotics. We design, build, and program next-generation bio
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intelligence, and research software engineering, and is interested in developing robust, transparent, and sustainable computational tools. Experience with first-principles electronic structure methods, machine
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-organisational responsibility for health? Research design and methods (indicative) The PhD project has a broad and flexible framing, and the successful candidate will help refine the theoretical and analytical
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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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How Creativity Persists into Later Life , funded by a Carlsberg Foundation grant awarded to Professor Karol J. Borowiecki . Applicants may be admitted through either the 5+3 or the 4+4 programme. The
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constraints, sustainable biomass utilization, sector coupling, and CCUS integration. SDU LCE is primarily externally funded and actively engaged in numerous strategic research projects supported by the EU
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before Fall 2026. Applicants should have an interest in theoretical and numerical cosmology and in participating in and presenting at international conferences, workshops and PhD schools. The Inge Lehmann
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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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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