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. You will set the agenda in optical imaging for health technology and contribute to flagship initiatives that improve patient outcomes through prediction, prevention, early diagnosis, and treatment
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programme in optical imaging for health technology, exploring emerging and enabling technologies and their potential applications in healthcare. This includes integrating novel concepts such as advanced
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information about the department can be found on http://www.energy.dtu.dk . Technology for people DTU develops technology for people. With our international elite research and study programmes, we are helping
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-bacterial electron transfer in these systems. By combining cultivation-based microbiology with electrochemical approaches and high-resolution imaging, the work will directly probe how energy metabolism is
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sources of quantum light for optical quantum computers. The project takes place in the Quantum Light Sources group at DTU Electro, where we design, model, fabricate and test sources of single photons
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the CFIB Scientific Advisory Board. Oversee the maintenance and strategic upgrade of imaging equipment, ensuring optimal performance and excellent technology portfolio development. Strategically integrate
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description At the Faculty of Engineering and Science, AAU
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programme Electrical and Electronic Engineering; as per August 1st, 2026, or as soon as possible thereafter. In electronic engineering, Aalborg University is known worldwide for its high academic quality and
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural