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Job Description Are you passionate about renewable energy and eager to apply machine learning to real-world challenges? Join our research team at DTU and work on groundbreaking advancements in
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of the biggest challenges is the development of efficient, scalable, and low-noise control electronics that operate at cryogenic temperatures. This PhD project addresses this challenge by designing CMOS-based
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. The research should focus on low-power embedded systems, multimodal sensing (including wearable shoe-based platforms), and edge-cloud computing with serverless and federated learning techniques. You will work
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research with possible continuation as a research assistant or in a possible PhD degree programme Place of employment and place of work The place of work is the Department of Animal and Veterinary Sciences
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student to work with SERS for monitoring infections in wound samples. We will target the detection of bacteria in wound samples. We offer a highly creative, collaborative, and ambitious work environment
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. The approach will be validated by application to industrial production at a partner company. The position includes both theoretical and experimental work and carries project as well as academic responsibilities
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-situ spectroscopic and microscopic methods, including XRD, Raman spectroscopy, TEM, and XPS. Evaluating catalytic performance for various electrochemical reactions, such as the oxygen reduction reaction
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soon as possible. This is a fixed-term position to end on 31 August 2026. The candidate will work with sources, occurrences and impacts of plastic and macro-sized litter in the marine environment
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from related projects at DTU-Bioengineering (https://biocat.ncsu.edu/) and researchers from the private sector. Overall, you will become part of a high-energy, supportive, and inclusive work environment
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, data engineering, and AI-powered maintenance solutions—key capabilities for driving efficiency in the competitive semiconductor industry and beyond. You will explore how operational platforms can unify