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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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Infrastructure? No Offer 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 TURBO
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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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dynamic range or polarization diversity. Operation in harsh conditions or challenging environments is therefore often very challenging. In this PhD, you will contribute to research that explores how
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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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with embedded programming on modern microcontrollers (e.g. ARM Cortex M). Knowledge of software-defined radios, wireless IoT protocols, digital signal processing, and/or real-time software systems is a
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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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energy provision failure. The objective of this PhD research in particular is to develop novel energy optimization mechanisms for maintaining network operation during long-term energy provision failures
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