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. You will work under the supervision of Prof. Francisco C. Pereira, Assoc. Prof. Carlos Lima Azevedo (DTU), Dr. Biagio Ciuffo and Dr. Georgios Fontaras (JRC). You will work on research focused
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possess the following skills and qualifications: Undergraduate degree (Bachelor’s) in mathematics, physics, computer science, or a closely related field. A relevant Master’s degree (e.g., MSc, MPhil
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240 higher education credits in Applied Mathematics, Applied Physics, Electrical Engineering, Mechanical Engineering, or a related field. A strong mathematical foundation and excellent academic
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conferences. The PhD candidate will be enrolled at KU Leuven (Prof. Erik Delarue). A secondment of 6 months at KU Leuven and 3 months at Urban Sympheny AG is planned during the third year of the PhD. Your
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fees and include a tax-free stipend (£19,237 pa. currently), for a period of 3.5 years. The successful candidate will be supervised by Prof. Kurt Debattista and Dr. Thomas Bashford-Rogers
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University within the chair Crop Physiology . You will be supervised by prof. Jochem Evers (WUR) and prof. Kirsten ten Tusscher (UU). Regular meetings will be organised with both PhD students and their
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and nanomaterials at the Composites and Advanced Materials Centre (Dr Sameer Rahatekar, Prof Krzysztof Koziol) and Hyper-velocity impact testing facilities at Centre for Defence Engineering and Physical
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scientific backgrounds, including electrical engineering, industrial engineering, operations research, data science, and applied mathematics. Many of our former students are now successful scientists in both
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Medicine (Director: Prof. Dr. Daniel Rueckert) is seeking to fill PhD candidate position (TV-L E13, 100% for 3 years) in Privacy-Preserving and Reliable Artificial Intelligence to be occupied starting from
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/theory or a MSc degree in mathematics with a minor in computer science. The Position is for 2 years with the possibility of extension. The starting date is negotiable. We are interested in filling