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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
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optimal conditions for their successful doctoral degree and beyond. Doctoral researchers at GS SimTech: Have at least two supervisors from different subject areas Benefit from a second, external reviewer
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-cutting and bending to break the glass panels. The project will involve the establishment of a numerical model and the acquisition and analysis of data from physical measurements in the production
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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 specific focus on cost-effectiveness
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analysts to develop numerical and laboratory experimental approaches to understand the impact of Arctic sea-ice thickening geoengineering approaches on nutrient and alkalinity cycling. Mode of study Full
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, and more efficient operations. After all, the greenest energy is the one that’s not spent – and this project aims to unlock just that by refining the way we design and optimize airfoils. The focus
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analysis. Experience in formulating and solving mathematical optimization problems is an asset. Proficiency in English is required; good comprehension and oral communication skills in German are desirable
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(diploma, master's degree) in transport engineering or civil/electrical/control engineering or mathematics, or related study programs with a solid basis in optimization Description of the PhD topic
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tailored to identify the most effective combination for addressing the challenges posed by the proposed research. This methodological flexibility is crucial for optimizing the model's performance and
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that values open science, reproducibility, and career development, and numerous training opportunities in transferable skills For this function, our Brussels Health Campus (Jette) will serve as your home base.