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behaviour in Luxembourg and beyond. EMUP will employ a data-driven approach and state-of-art methodologies to support decision-making for an optimal and smooth integration of the e-mobility sector, with
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model-based control tailored to systems like NudgeFlow. The framework decomposes the global control problem into smaller local problems for each zone or room, enabling independent optimization with local
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) mouse model to improve outcomes. A successful project will result in: A developed and optimized mouse EVLP platform. AI-based identification of 3 IRI and 3 rejection target genes expressed
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insights and models will support VUB in looking ahead, making informed choices, and acting strategically. Your responsibilities will include: Redesigning and optimizing the staff budgeting model to align
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on equipment to ensure optimal performance. Implement advanced data processing tools, such as molecular networking (GNPS and other online platforms), into the existing workflow. You hold a degree in
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logical choice for its staff and students. YOUR TASKS You perform comprehensive analyses of pyrolysis feedstocks and resulting products. You develop and optimize GC×GC methods for the characterization
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packaging applications. Responsibilities: Investigate the mechanisms of plasma–tissue, plasma–biomaterial, and plasma–food packaging interactions. Develop and optimize cold plasma treatments to enhance
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engineering of the polymer/monomer purification steps. The main objectives are: To gain physicochemical insights in the interaction between polymers present in footwear and solvents/reagents To optimize
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, repairability, reuse, and/or recycling. Numerical and/or experimental analysis and modelling of machine components with the aim of improving their durability, reliability, and optimizing performance, and energy
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nature, involving optimization, control, data science, and/or machine learning problems will be evaluated positively. An interest in issues related to the challenge of the transition will also be