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neuromorphic ultra-low-power active sensor readout and processing at the edge. The chip design will enable online learning capabilities, aiming at modulating the spatio-temporal filtering properties with
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Infrastructure? No Offer Description The PhD researcher will ● carry out fundamental research on active sensing “at scale” with the view of increasing the applicability of event-vision sensors to robotic control
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damping systems) will be tested. The research will be mainly experimental, using a dedicated sloshing table equipped with advanced sensors and flow visualization. The candidate will also contribute
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field. Research Field: Fluid dynamics, control engineering, or dynamical systems. Required Skills/Qualifications: Experience with experimental methods (laboratory setups, sensors, data acquisition
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off-the-shelf sensors and the development of resilient algorithms that combine first-principles modeling with modern machine learning techniques. The goal is to push the boundaries of robust perception
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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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are searching for a motivated PhD candidate to design practical over-the-air computing algorithms and protocols for future edge AI applications. About the employer The research of this PhD position will be
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calibration, electronics (e.g. image sensors), … PhD applicants should hold a MSc degree in astrophysics, physics, or engineering, or have obtained an equivalent diploma. Proficiency in English is required
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Researcher, you will play a key role in developing next-generation quantum sensors based on photonic technologies, with applications spanning high-tech industries, space, and defense. Your work will focus
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Networks, and ICT Services & Applications. Your role Design intelligent agent architectures leveraging large language models (LLMs), planning algorithms, and secure transaction protocols tailored