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at the cutting edge of sustainable materials design, chemical hazard assessment and microplastic pollution. This PhD opportunity is part of the EU-funded UPCYCLE project, which aims to transform non-recyclable
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you will design, build and operate advanced electrochemical systems focused on product detection. The project builds upon many years of experience - for example with the "sniffer chip" which has been
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– including the design of next-generation artificial phosphors and radiation dosimeters for use in medicine and other industries. Responsibilities and qualifications The exact research focus will be shaped in
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Job Description Are you passionate about sustainable innovation, food safety, and creating real-world impact through cutting-edge materials science? Do you want to help design the future of food
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
If your goal is to lead groundbreaking research and make a real-world impact, DTU Biosustain offers the perfect launchpad. Join us and redefine what’s possible in sustainable science and innovation
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, therefore the PhD position provides opportunity to work in this exciting area in collaboration with major industries. This PhD project is part of Center for Climate Robust Electronic Design project funded by
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in this exciting area in collaboration with major industries. This PhD project is part of Center for Climate Robust Electronic Design project funded by Poul Due Jensen’s Foundation, Denmark
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international conferences and journals, experience in publishing peer-review journal papers is the preference BSc/MSc thesis on topics like thermal energy storage, energy systems analysis, solar heating, domestic
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Job Description The project takes place in the Quantum Light Sources group at DTU Electro, where we design, model, fabricate and test sources of single photons or entangled photon pairs
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for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms