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Ph.D degree in electrical engineering, computer engineering, computer science, or a related discipline Demonstrated experience developing, training, and applying AI algorithms to physical sensor data
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At the Faculty of Medicine, Department of Health Science and Technology a PhD stipend is available within the general research programme: Biomedical Engineering and Neuroscience. The stipend is open
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results. Once validated, numerical modelling will be conducted to assist the reactor design. The objectives of this industry co-funded PhD program also include an internship at the industry partner site
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and/or published/publishable scientific papers. You must meet the requirements for admission to the Faculty's Doctoral Programme . You must have English language skills, both written and spoken
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work experience and/or published/publishable scientific papers. You must meet the requirements for admission to the Faculty's Doctoral Programme . You must have English language skills, both written and
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Doctoral Programme You must have an academically relevant background within mechanics of materials, solid mechanics or fatigue and fracture mechanics Documented strong background in experimental mechanics
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scholars who have made valuable and innovative contributions to science or scientific practice. These contributions may relate to the themes identified in the Recognition & Rewards programme : research
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of September 19, 2025 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed
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clinically meaningful explanations. Finally, the project will develop new evaluation frameworks to assess reasoning quality, robustness, computational efficiency, and real-world clinical usefulness, supporting
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complexity and surface roughness, using computational methods like physical optics and the discrete dipole approximation. Supervisors Entry requirements Applications are invited from individuals with a