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described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our technologies and solutions are developed
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, machine learning, electrical engineering, or a related field. The ideal candidate will have some of the following skills such as: Computer vision and machine learning: A solid understanding of image and
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At the Faculty of Engineering and Science, Department of Materials and Production a position as PhD stipend in Muscle Neuromechanics and Ultrasound Imaging, within the doctoral programme Materials
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of electron microscopy imaging and spectroscopy to reveal the structure–property relationships that govern molecular adsorption mechanisms. This interdisciplinary project is fully funded by DTU’s PhD grant
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, and the preparation of highly non-classical mechanical quantum states. Who are we looking for? We are looking for candidates within the field(s) of physics or related engineering disciplines. Applicants
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devices. The microneedles are manufactured by a collaborating group (Biomaterial Microsystems) at DTU Nanolab. The PhD candidate will be a part of the Pharmaceutical Technology group (see more information
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production through fusion Quantum Physics and Information Technology aiming to develop and utilize quantum technology Surface Physics and Catalysis with a particular focus on catalyst computation
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of Civil and Mechanical Engineering, Thermal Energy Section. We look for a talented, self-motivated, and team-oriented individual who thrives in a collaborative environment and enjoys tackling complex topics