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in the 3 years immediately before the recruitment date. PhD Rule: Applicants must not already possess a doctoral degree at the date of recruitment. Master degree or equivalent in Electrical Engineering
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possess a doctoral degree at the date of recruitment. Master degree or equivalent in Electrical Engineering, Computer Science, or related field with excellent grades. Sound knowledge of computer hardware
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doctoral degree at the date of recruitment. Master degree or equivalent in Electrical Engineering, Computer Science, or related field with excellent grades. Sound knowledge of computer hardware design and
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possess a doctoral degree at the date of recruitment. Master degree or equivalent in Electrical Engineering, Computer Science, or related field with excellent grades. Sound knowledge of computer hardware
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-based corrections can reduce these effects. By integrating linguistic, argumentative, and network-based approaches, this project aims to advance current research on both misinformation detection and
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PhD position on Closed-loop testing for faster and better EM evaluation of complex high-tech systems
the Department of Electrical Engineering has a vacancy for a Ph.D. researcher on Closed-loop testing for faster and better EM evaluation of complex high-tech systems within the EU Horizon 2020 Marie Sklodowska
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candidate will be in the lead to develop organisational principles and action perspectives that help infrastructure agencies to collaboratively maintain our roads, bridges, waterways, electricity networks and
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the selection procedure. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute
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that balance energy supply and demand, improve electricity grid flexibility, and optimize renewable energy integration. These solutions contribute to climate change mitigation by reducing emissions and to
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and networks worldwide to become a truly global centre of knowledge. This 4-year PhD position is embedded in the Artificial Intelligence department at the Faculty of Science and Engineering and in