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engineering, Aalborg University is known worldwide for its high academic quality and societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and
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Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of secure machine learning within the general study programme Electronic and Electrical Engineering
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, computer engineering, computer science, mathematical engineering, or similar. Proven track record in the Machine Learning, Artificial Intelligence, or Robotics, reflected through contributions to major
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. Your competencies Applicants must have a strong technical background, ideally in computer science, software engineering, human-computer interaction, Medialogy, AI, machine learning, or a related field
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background in electrical engineering, energy engineering, computer science, or a closely related field. You should have a solid foundation in mathematical modelling and numerical methods, together with
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enrolled as a PhD student at the Doctoral School of Engineering and Science in accordance with the regulations of Ministerial Order No. 1124 of September 19, 2025 on the PhD Programme at the Universities and
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environment where engineering, medicine and health sciences come together to improve people's lives. As a PhD fellow at HST, you will become part of an international research community with access to
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statistical genetics, epidemiology, and artificial intelligence. Applicants should have: A master’s degree in statistics, biomedical engineering, computer science, medicine, or a related field. Excellent
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has: MSc degree in Geodesy, Hydrology, Water Resources, Civil Engineering, Physics and Meteorology, Applied Mathematics, Computer Science/Engineering, or a comparable discipline. The MSc degree must be
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-specific competencies We are looking for a motivated and curious candidate with a background in computer science, electrical engineering, artificial intelligence, edge computing, or a closely related field