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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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, artificial intelligence, food technology and sustainability from KU Leuven, ILVO and Artevelde University College of Applied Sciences. The PhD candidate will be responsible for:•Designing and developing
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. •Exploit the reconstructed field to design a calibration (neural) model that bridges the gap between the physics-based prediction and the corrected field, ensuring physical interpretability and data
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at different timescales, exploring trade-offs between different design choices, quantizing the models, and implementing the best-performing ones in custom digital hardware, on FPGA and/or in an application
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recovery trajectories in AN. As a PhD researcher, you will:•Design, optimize, and validate data acquisition protocols for wearable-based eating behavior monitoring.•Develop robust signal processing and
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can push the limits of conventional heat exchanger technology.In the second part of the PhD research, the candidate will contribute to the HEATCAP project (https://www.moonshotflanders.be/en/projects
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emphasis on experimentally driven research. The research should focus on reactor, process and safety engineering for the production of chemicals that are safe-and-sustainable-by-design (SSbD), within
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process. The ultimate goal is to better understand the learning process and the obstacles and possible scaffolds that allow us to design a learning environment that supports bridging mathematics and physics
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of gene therapy manufacturing and process innovation. The project focuses on the development and optimization of scalable bioprocesses for viral vector production and downstream purification and
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with the KU Leuven approach of research-based education with an emphasis on activating students (see http://www.kuleuven.be/english/education/education-at-ku-leuven ). You take advantage