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Field
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-ECO project. The successful candidate should: MSc degree in the field of computer engineering, computer science, electrical engineering or similar with an affection for computationally demanding
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the attractiveness to the users, we need innovative designs where fixed and flexible services support each other. This necessitates a multidisciplinary approach bringing together optimization, machine learning and
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reference architecture for data visiting. This paradigm enables algorithms to securely access and process data within the environments where it resides, supporting federated learning for training machine
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Job description Consortium This position is part of a European Doctoral Network consortium "Machine learning for integrated multi-parametric enzyme and bioprocess design", where 15 doctoral projects
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collaborative labs develop and deploy the latest technology, including sensing, data analytics, modelling, simulation, artificial intelligence, and machine learning, and function as dynamic hubs where innovative
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control, mechanical engineering, electrical engineering or computer science. Knowledge of discrete-event systems, and knowledge of or interest in learning about formal methods, in particular, the theory
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23 Oct 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Medical sciences » Medicine Researcher Profile First Stage Researcher (R1) Country
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engineering Engineering » Design engineering Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 5 Oct 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable
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learning is also desiered. TU Delft (Delft University of Technology) Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech
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work in our multi-disciplinary team, including AI-experts, MRI-physics experts, and clinical experts. You will conduct new academic research combining machine learning and medical physics. Your research