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analytical and technical problem-solving skills, with a solid foundation in computational engineering Ability to work independently and take initiative in planning and executing computational and experimental
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
skills are advantageous Strong analytical and technical problem-solving skills, with a solid foundation in computational engineering Ability to work independently and take initiative in planning and
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collaboration with DTU Bioengineering and DTU Electro. We emphasize the following required qualifications and skills: Strong foundation in Mechanical Engineering, Materials Engineering, Manufacturing or related
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Job Description Are you passionate about brain-computer interfaces (BCIs), neurorehabilitation, and intelligent assistive technologies? The Department of Health Technology (DTU Health Tech
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to the offshore energy sector. A strong publication record and ability to contribute to research-based teaching are also required. Teaching will primarily be in robotics, automation, and related engineering topics
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section Energy Technology and Computer Science, where you will have around 20 colleagues with a mix of research and industrial experience. We work with research, innovation, technology implementation, and
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motivated PhD student with a background in biomedical or pharmaceutical engineering, biomedical sciences or similar. You will work under the supervision of Assistant Professor Lisa Maria Riedmayr