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hardware-software design for embedded systems and Embedded AI. Candidates must hold a master’s degree in electrical or computer engineering (or equivalent). Master's students who expect to graduate by
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the development of artificial-intelligence models. Its subtle infiltrative growth pattern also creates specific challenges for diagnosis, staging and clinical management. This PhD project is part of M4GIC-ILC, a 36
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/phd ). Selection process For more information please contact Prof. dr. Sarah Vansteenkiste and Prof. Dr. Kristof De Witte, Professors at KU Leuven. All applications have to go via the official KU Leuven
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. While EMT simulation provides the required modelling detail, existing workflows do not scale efficiently to national and regional transmission systems.Our Vision: make EMT-based stability assessment
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on temporal data (predictive maintenance, sensory processing for robot control, etc), in which efficient on-device processing is crucial. We are looking for a highly motivated PhD candidate with an interest in
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» Process engineering Engineering » Systems engineering Engineering » Other Technology » Environmental technology Technology » Future technology Technology » Production technology Researcher Profile First
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Description KU Leuven seeks a highly motivated PhD candidate for a fully funded, international doctoral position within the Marie Sklodowska-Curie Doctoral Networks (MSCA-DN) project MicroMan4Health (Website
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? Horizon Europe - MSCA Reference Number BAP-2026-345 Is the Job related to staff position within a Research Infrastructure? No Offer Description KU Leuven seeks a highly motivated PhD candidate for a fully
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-creating solutions through citizen research labs and stakeholder engagement. Delivering evidence-based recommendations for industry and policymakers. This research/PhD position focuses on advancing
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major impact on the way combinatorial optimization software is developed, evaluated, and used: the proofs produced will enable (1) debugging, since proofs contain detailed information about where