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to express complex domain knowledge in a formal yet flexible manner, and (2) design AI approaches such as learning algorithms and reasoning engines that can exploit the provided knowledge? The successful
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healthcare for FOG; identify technical requirements for the development of just FMs-based solutions for FOG. Develop a data collection method embedding wearable IMU sensors for monitoring FOG in everyday life
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and AI-based threat detection methods—combining simulation, synthetic data generation, and multi-sensor fusion across visible and infrared cameras in collaboration with industry and defence partners
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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
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constraints across the FR3 band. You will propose novel transceiver architectures and communication algorithms offering flexibility and the best power-performance trade-offs. You will also investigate how
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-scaled CMOS models. Advanced algorithms and architectures need investigation of power-consumption trade-offs. For instance, digital predistortion (DPD) can enhance power amplifier efficiency but
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and engineer novel optical designs. You have proven experience with programming and a motivated interest in programming image analysis algorithms. You have proven experience, or show a motivated
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, biodegradable and biocompatible electrical sensors, polyurethanes, and biologically active extracellular vesicles. These solutions aim to prevent inflammation, promote tissue regeneration, and minimize infection
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-constrained platforms, without heavily relying on human interventions for hardware-aware optimization, or are unable to generate runtime-adaptive workloads, such as AI algorithms that evolve over time in
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AI through several shared Chairs across faculties (a Chair on the algorithmic and statistical foundations required to understand AI and its biases, and on today’s various applications of AI [Faculties