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prediction to systems that reason, plan, interact and act in the physical world. This PhD addresses efficient long-horizon task execution in Physical AI—complex tasks needing sequences of decisions, subgoals
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Can AI learn to reason like a human - and recognise when it isn’t sure? This PhD tackles that challenge in a high-impact setting: interpreting 3D digital models of rock formations built from drone
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on the legal basis of the GDPR: performing a public task in the public interest. You can find more information about this assessment on our website about knowledge security. Please do not contact us for
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next generation of physics-based degradation models grounded in measured rather than assumed parameters. This project offers a rare combination of fundamental scientific depth and clear industrial
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Chemopleth 1.0 as ground-truth training data. Two methodological pillars anchor the role: computer-vision pipelines for image registration and segmentation that bring raw 3-D imaging into the atlas framework
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. For the necessary professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis. The appointment is carried out in accordance with
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process. When the outcome of the assessment is negative, the candidate will be informed. The processing of personal data in the context of the risk assessment is carried out on the legal basis of the GDPR
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investigate why the same pathogen can cause severe disease in one microbial environment but establish poorly in another. You will work with a unique collection of 100 Dutch agricultural soil microbiomes and
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that select, apply and evaluate explainability techniques for DNA/RNA sequence models. The central research question is how to move from model explanations to biologically grounded, testable hypotheses
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groundwater represents a critical threat to buildings worldwide. Some building-preservation treatments (most of the times polymers) are used to reduce rising damp, that is the moisture uptake from the ground