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18 Sep 2026 Job Information Organisation/Company ARCNL Research Field Engineering » Chemical engineering Engineering » Mechanical engineering Physics » Applied physics Physics » Thermodynamics
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Are you fascinated by scientific and technological innovations in mechano-driven cartilage tissue engineering? Are you driven to develop novel in silico frameworks that deepen mechanistic
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antigens presented by MHC molecules. This curiosity-driven project develops cutting-edge AI technology for 3D TCR–pMHC modeling to improve neoantigen identification, TCR specificity prediction, and TCR
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Mechanical engineering, Chemical engineering, Applied physics, or related field is required. Knowledge and proven experience with performing measurements and engineering reactor modeling and/or CFD. A critical
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, transdisciplinary research, particularly in the domain of energy and climate change. Position 2: Spatial data science, modelling (incl. ABM) and visualization, economic methods, and aiming for transparency, trend
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plant phenotyping, microbiome profiling, predictive modelling and targeted experimental validation to identify the microbial factors that make plants more resilient to disease. Your job You will join the
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collaborate with researchers specialising in materials science, photocatalysis, modelling, optical engineering, reactor development, sustainability assessment and industrial innovation. This international
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are optimized based on plant performance and energy price fluctuations. The learned models and resulting data-driven control approaches will be designed to be more easily transferable between different
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Your position The Tilburg Institute for Law, Technology, and Society (TILT) establishes a chair in Law, Data & Innovation to solidify its national and international position in the rapidly growing
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image data. The research explores how AI-driven analysis can move beyond manual reverse-engineering workflows by automating feature extraction and structural interpretation while remaining robust to noise