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with low-emission alternatives. The research is based on random utility theory and uses the Discrete Choice Experiment (DCE) method to identify consumers' preference structure when choosing food
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17 Mar 2026 Job Information Organisation/Company KU LEUVEN Department Engineering science Research Field Engineering » Industrial engineering Engineering » Computer engineering Computer
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or malicious inputs. Implementing and evaluating the developed methods on embedded computing platforms and hardware prototypes in collaboration with the PhD student working on the power electronics aspects
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research. You will strengthen the data science and machine learning activities of IAS-9 by developing core AI methods with applications to electron microscopy and materials discovery. You will work in a team
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Engineering » Computer engineering Engineering » Electrical engineering Engineering » Knowledge engineering Researcher Profile First Stage Researcher (R1) Application Deadline 29 May 2026 - 23:59 (UTC) Country
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-based method to approximate the CFD-revealed effects of liquid metal convection on molten pool temperature predictions. • Designing and conducting instrumented WA-DED experiments to validate the developed
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-related transport phenomena all require precise knowledge of fluid flow dynamics. Advanced experimental methods such as Particle Image Velocimetry (PIV) and 3D Lagrangian Particle Tracking (LPT) provide
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reinforcement tasks to work with, enhance or replace established methods from computational engineering and computer simulation (such as the finite element method) to represent and exploit relationships along
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biomass fraction. The tasks include: DES design; DES preparation – The DES will be prepared by the most conventional heating and stirring method. The selected compounds are weighted and mixed in the right
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remain trustworthy even in the presence of disturbances or malicious inputs. Implementing and evaluating the developed methods on embedded computing platforms and hardware prototypes in collaboration with