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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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are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates
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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. DTU Electro has 300 employees
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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
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must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. The degree should be within physics, chemistry or engineering
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Job Description The Department of Technology, Management and Economics at DTU invites applications for a PhD student position on the topic of using AI to reduce stochastic problems. You will be
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interested candidates 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
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leading research group on data-driven and stochastic methods in engineering. In addition, we have a dedicated focus on the next generation of methods for smart grids and for accelerating the green
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and peptide phase separation and aggregation associated with human neurodegenerative diseases. The applied methods include protein engineering as well as various spectroscopy, confocal and electron