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A PhD degree in applied mathematics, computer science, electrical engineering, mechanical engineering,or applied physics.•A research oriented attitude with affinity for advanced formal mathematics
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Germany Application Deadline 16 Nov 2025 - 22:59 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 13 Oct 2025 Is the job funded through the EU Research Framework Programme? Not
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graduate students, and collaborate with clinicians and other collaborators of the lab. MINIMUM QUALIFICATIONS The candidate should have a PhD degree in biomedical/electrical engineering, computer
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computed tomography (CT) reconstruction, including sparse-view and limited-angle algorithms, and the application of advanced machine learning (ML) and computational imaging methods to scientific and
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-generation AI (in particular Large Language Models and Agentic AI systems) in these tasks. These investigations include the feasibility, practicality and success evaluation of prototype implementations
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, distributions, and dynamics in metallic, oxide, and semiconducting systems. This project integrates high-throughput and in situ TEM experimentation with AI/ML-driven image analysis and computational modeling
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division 8.5 Planning, performing, and evaluating in-situ/4D computed tomography experiments Developing software for the quantitative evaluation of various image data sets (algorithms for detecting volume
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risks, lithosphere dynamics, Earth imaging, geodesy-metrology of the Earth and the nearby Universe. It comprises around 200 people (researchers, engineers, doctoral students, etc.). It is spread over two
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Mechanics, Civil Engineering, or Mechanical Engineering. Applicants are expected to demonstrate research experience in the fields of computational mechanics and computational geomechanics. Preferred
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Image Analysis Group (DIAG) at Radboudumc. We develop, validate and deploy novel medical image analysis methods, usually based on the newest advances in machine learning with a focus on computer-aided