98 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Southern Denmark
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to sustainable technology developments - interest in interdisciplinary research - ability to write and communicate professionally in English - ability to collaborate tightly within a
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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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, to further advance the practical, everyday use of the technology. Qualifications Applicants should hold a MSc in electronics, computer engineering, biomedical engineering, Physics, or a closely related field
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of Engineering in Sønderborg seeks a student assistant. We are looking for a candidate to support our activities in the Software-Driven Machines Lab. Responsibilities: Help with technical tasks in the lab, with
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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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for technology transfer, including licensing, spin‑outs and joint ventures. Collaborate closely with SDU’s Research & Innovation Organisation (SDU-RIO), tech transfer office and innovation hubs to support
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support. Qualifications Applicants must hold a master’s degree in biology, biomedicine, neuroscience, engineering or a related life science discipline. Technical and computational skills We place strong
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the Lecturer Training Programme at SDU to strengthen the candidate’s educational and pedagogical skills. Qualifications The candidate must hold a PhD degree in structural engineering or similar. Preferably
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Job Description Student assistant(s) at SDU Robotics section The SDU Robotics at the Faculty of Engineering in Odense seeks two student assistants. We are looking for candidates to support our
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collaborative project at the interface of directed experimental evolution, microbial ecology, and bioelectrochemical engineering. The project combines laboratory evolution approaches with omics-based analysis