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, University of Skövde. One of VE's main visions is to contribute to a "viable society" by developing future production systems, optimizing manufacturing methods and prioritizing human-centered design in
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The purpose of the project is to pursue research in pancake sorting, which is a well-known problem in combinatorial optimization which goes back up to a paper of Microsoft founder Bill Gates and Papadimitriou
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application! Work assignments The project focuses on electro-enzyme coupled catalysis and reactor system optimization for sustainable energy and chemical conversion. The research will explore the integration
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and the reduction of protons to hydrogen gas. Work duties The work involves optimizing the respective photocatalytic reactions that have been develop in the group using iron N-heterocyclic carbene
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innovative solutions for future communication networks and sensing-enabled services. Job description The successful candidate will contribute to research on energy-efficient network design, optimization, and
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on modelling, optimization, control, and AI applications for smart buildings. The work includes collaboration with international research and industrial partners, publication of scientific articles, and
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mass and extracted material and can thus provide engineers and decision makers with important information for safety and productivity optimization. Your mathematical, analytical and problem-solving
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-driven approach for optimizing the growth of semiconductor materials by combining machine learning with a physics-based understanding of the growth process. Doping and processing of ultra-wide bandgap
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runaway models and numerical methods in OpenFOAM. Design and optimize computational frameworks for high-performance simulation of reacting flows and battery safety phenomena on modern GPU architectures
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, this interdisciplinary project will also optimize the surface passivation of nanowires to improve voltage and current matching. The project aims to achieve scalability by transferring nanowire solar cells onto lightweight