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Field
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the performance, reliability, and robustness of the designed systems. Collaborate with interdisciplinary research group, including chemists, polymer specialists, and engineers. Maintain detailed records
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7 Jan 2026 Job Information Organisation/Company KU LEUVEN Research Field Engineering » Control engineering Engineering » Industrial engineering Engineering » Mechanical engineering Engineering
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the development of robust condition-monitoring strategies for energy, mobility, and infrastructure applications. The project aims to contribute to this global effort by solving essential challenges
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framework needed to bring robust and affordable microbial solutions to farmers across the globe. The initiative is supported by 210 million DKK (approximately 30 million USD) in combined funding from
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uncertainty, robustness, and reproducibility in experimental data Contribute to feature selection and model interpretability, supporting biologically and regulatory-meaningful decision making Collaborate
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, or decision-making in autonomous driving or robotic systems Reinforcement Learning and Agentic Control: Hands-on experience with reinforcement learning, multi-agent systems, or planning-based agents
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animals and humans, contacts with the environment are not avoided and sometimes even actively sought. We will deploy this inspiration from biology to design truly robust machines with distributed control
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/ . Multileaf collimators (MLCs) are a critical part of medical linear accelerators (linacs) as they control the shape of the beam. However, MLCs are a fragile components in a linac as they contain numerous
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dermal atomic force microscope (HS-DAFM) control software and signal processing circuits. These systems are critical for capturing high-quality nanotexture images from skin samples collected across five
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photovoltaic–thermal (PVT) panels, anaerobic digestion, biogas-fuelled micro-CHP, phase-change material (PCM) thermal storage, and IoT-enabled monitoring and control. The successful candidate will lead