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hardware-software co-design of ML models taking inspiration from the brain. The applicant should: have a Master’s degree in Engineering with a background in Electrical Engineering, Computer Science
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program of the Faculty of Economics and Business (see: https://feb.kuleuven.be/research/PhD/businesseconomics/Business )•Provision of teaching support in courses of the academic faculty (e.g., supervision
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for using AI to develop social engineering attempts. This project combines human subject research of learning and decision making, Human-Computer Interaction, and the advancement in AI methods
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candidate) PhD program in business economics (at most one candidate) of the Faculty of Economics and Business of KU Leuven (for more information, see https://feb.kuleuven.be/research/PhD/PhD ). As a PhD
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23 Jul 2026 Job Information Organisation/Company KU LEUVEN Department Department of Architecture/ Faculty of Engineering Research Field Architecture » Design Researcher Profile First Stage
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cutting-edge computer vision, wearable sensors, and citizen science, RUN2GETHER will capture large-scale, real-world data during running events and group runs. These data will advance our understanding
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the running infrastructures. Using cutting-edge computer vision, wearable sensors, and citizen science, RUN2GETHER will capture large-scale, real-world data during running events and group runs. These data will
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22 Jun 2026 Job Information Organisation/Company UCLouvain Department IMCN/MOST Research Field Chemistry » Physical chemistry Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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Willingness to combine wet-lab experimental work and computational analysis Basic knowledge of statistics and/or programming (R, Python, or similar) Strong motivation to learn new techniques across
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of the following or related fields: fluid mechanics, aerospace engineering, mathematical engineering, mechanical engineering, or computational physics. They should have a good background or interest in wind energy