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an advantage: plasma surface functionalization; electrode/electrolyte interfaces; battery degradation modelling; microstructure-resolved modelling; tomography or image-based electrode modelling; machine learning
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19 Aug 2026 Job Information Organisation/Company KU LEUVEN Research Field Engineering » Electrical engineering Engineering » Electronic engineering Engineering » Computer engineering Computer
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. The research will involve training machine-learning models on large structure and sequence datasets and integrating membrane-specific biophysical constraints to enable the design of membrane proteins and
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sensing, advanced signal processing, machine learning, and longitudinal behavioral analysis to establish clinically meaningful digital biomarkers of eating behavior. These biomarkers will quantify fine
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practical experience in the implementation of machine vision systems Fluent in English, for both written and oral communication Enthusiastic team player Openness to learn the basics of plant growth Welcome
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-level modelling of environmental exposures and health risks; Interpretable and uncertainty-aware machine learning for heterogeneous health data. This position offers the opportunity to work in a
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for society. With the launch of VIB.AI, we are expanding our mission to harness the power of artificial intelligence for life sciences research, innovation, and impact. We are now looking for a Machine Learning
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Method (FEM), Boundary Element Method (BEM), and/or with the basic principles of Machine Learning and/or Model Order Reduction or I have a profound interest in these topics. •During my courses or prior
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strong interest in machine learning/artificial intelligence. You have experience with deep learning. You have experience with reinforcement learning (preferred). You have experience with explainable and/or
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and cooperation. You have a strong interest in machine learning/artificial intelligence. You have experience with deep learning. You have experience with reinforcement learning (preferred). You have