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renewable energy generation.KU Leuven leads Modelling and Optimization, which focuses on: Developing hybrid models combining first-principle and machine learning approaches. Creating predictive frameworks
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of stochastic processes and/or optimization. Candidates should have experience with programming of scientific software. Excellent proficiency in English is required, as well as good communication skills, both
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and the characterization of their pigments, through the optimization of their production and application, to the comprehensive ecological and economic evaluation of the resulting solutions
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Science Desirable skills/interests: Wireless communication, statistical signal processing, algorithm design, optimization and estimation theory, hands-on experience or interest in measurement/test equipment
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the manufacturing process allowing for a faster and more precise optimization trough virtual engineering. You will work within a research team comprising two other researchers dedicated to this project
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must hold a Master degree in Electrical Engineering (or equivalent), have a solid mathematical background (e.g. in control theory and optimization) and have taken specialized courses in at least one of
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(Montanuniversität Leoben - MUL, Austria) DC6: Compositional footwear analysis: Compositional analysis and optimized treatment pathways (Technical University of Denmark - DTU, Denmark) DC7: Compositional sorting
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analysis Thermal integrity in 2.5D packaging Advanced design technology co-optimization Parasitic extraction for large cells Area-selective deposition for nanoscale structures ...and more! By bridging
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tools and simulation models to (1) detect novel pathogens early through broad genomic screening, (2) support hospitals in mitigating the impact of pandemics through optimized data-driven decision-making
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collaboration with core facilities, we have optimized and generated single-cell and single-nucleus datasets on immune cells and tissue sections, providing a unique opportunity to explore neutrophil biology in