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Job Description The Faculty of Engineering at the University of Southern Denmark invites applications for one or more 3-year positions as a PhD student in the area of Reliability of High Voltage
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irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export
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. Hartmann (nibh@dtu.dk ) (main supervisor, DTU Sustain), Anders Egede Daugaard (adt@kt.dtu.dk ) (co-supervisor, DTU Chemical Engineering) or Hiba Nassar (hibna@dtu.dk ) (co-supervisor, DTU Compute). You can
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master's degree. The degree could be in aquatic science, biology, physics, math, engineering, or similar. You are expected to demonstrate proficiency in written and spoken English. Analytical skills and
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critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position. Technology for people DTU
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Senior Researcher in Design and Operation of Sustainable Biomanufacturing Processes - DTU Chemica...
. Required qualifications: A PhD in Chemical and Biochemical Engineering or a related field Experience with LCA and techoeconomic assessment Experience with industry 4.0, digitalization and/or use of advanced
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to obtain) a master's degree in physics, astronomy or engineering. Applicants with previous experience in observational astrophysics, strong programming skills and knowledge relating to data reduction
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Applicants are invited for a PhD Fellowship/Scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position
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/ Applicants must have a Master’s degree in computer science or a closely related field such as mathematics or control engineering. Due to the project’s angle, applicants should have a strong background in at
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foundation, that enables trade-offs between functional safety, security, quantitative performance, and exploitation of modern machine learning technology. It is the overall hypothesis of S4OS that a full