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control Correlation between process conditions, material properties, and ATOX resistance Contribution to the preparation of scientific reports, presentations and publications. Collaboration with academic
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depositing ATOX-resistant coatings on polymers relevant for satellite construction, such as carbon fiber reinforced polymers, using plasma processes at low pressure and atmospheric pressure. The work will
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systems Reinforcement Learning and Agentic Control: Hands-on experience with reinforcement learning, multi-agent systems, or planning-based agents for autonomous vehicles or robots operating in dynamic
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Valorization, Sustainable Materials for Non-Pneumatic Tires, Sustainable Materials for Next Generation of Pneumatic Tires, Structure-Process-Properties Relationships. Do you want to know more about LIST? Check
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, Sustainable Materials for Next Generation of Pneumatic Tires, Structure-Process-Properties Relationships. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute
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/admittance, force control Experience with Artificial Intelligence and deep learning concepts for robotics computer vision, tactile sensing, reinforcement learning Experience with robotic simulation tools e.g
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cohort studies with a primary focus on cancer, immunological diseases, and neurodegenerative disorders. Key Accountabilities Data management: overview, pre-process, QC, and maintenance of integrated
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procedures Innovative teaching experience and interest to develop these further Fluency in English is required; good command of French, Luxembourgish and / or German is considered an asset We offer
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control) using real operator-grade datasets (traffic indicators, network KPI's, configuration logs and energy measurements when available). • Investigating and combining multiple energy-saving levers (e.g
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control, documentation, automation) Soft skills Ability to work effectively in interdisciplinary teams spanning computational and experimental research Strong analytical and problem-solving skills, with