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Description The field of combinatorial optimization is concerned with developing generic tools that take a declarative problem description andautomatically compute an optimal solution to it. Often, users
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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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staff and students. YOUR TASKS You'll be working on a research project focused on data-driven modeling for optimizing production processes in the pharmaceutical sector. Your specific tasks will include
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range of metamaterial concepts. Building on these tools, the researcher will devise structural optimization strategies to tailor the metamaterial architecture for targeted dynamic performance. The most
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an industrial or research setting. Deep expertise in C++ and SystemC, with a proven track record of developing, integrating, and optimizing TLM 2.0 models. Strong background in computer architecture
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illumination, this project aims to overcome these limitations and enable a superior imaging methodology. The work will focus on enhancing optical components, designing custom spectral filters, and optimizing
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communication and organization skills are warranted. Given the size of the project, we also expect close collaboration with the wet lab team to optimize workflows and procedures and to aid in data quality control
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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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processes and/or optimization. Specific experience with sampling methods for Bayesian is highly appreciated. Experience with cardiac electrophysiological modeling is a plus. Candidates should have experience
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(including porosity, binder composition, curing methods) and conduct a sensitivity analysis. Make recommendations for the design of cement-based materials optimized for a rapid and reliable CO2 uptake