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Master’s in Robotics, Control Theory, Applied Math, or Mechanical Engineering eager to work on model-based control of soft robots Job description We are looking for a motivated PhD candidate to join the
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We’re looking for a motivated PhD student with a Master’s in Robotics, Control Theory, Applied Math, or Mechanical Engineering eager to work on model-based control of soft robots Job description We
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of topics in exercise and muscle physiology across the full hierarchy of biological organization: from the physiology of thermoregulation and in vivo performance to mechanistic molecular studies
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that enable interpretable models to learn from deep representations. In this project, the researcher will develop theory and algorithms for (hybrid) model selection that allows to exploit domain knowledge
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Council (NWO). The main goal of this project is to develop theory predictions and new searches for dark matter bound states in the ATLAS experiment at the LHC. The project will be conducted in close
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, the researcher will develop theory and algorithms for (hybrid) model selection that allows to exploit domain knowledge through interactive learning. For this we will build on the minimum description length (MDL
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, the researcher will develop theory and algorithms for (hybrid) model selection that allows to exploit domain knowledge through interactive learning. For this we will build on the minimum description length (MDL
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elements—can function as materially driven climate regulators, providing passive environmental comfort while also advancing architectural expression. As buildings account for a significant proportion of
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-functioning. Stimulating consumers to accept, purchase, and consume products with minor imperfections would therefore support more sustainable production and consumption. In general, the “Perfectly Imperfect
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Join us to explore the mechanics of soft matter through a unique blend of theory, hands-on experiments, and machine learning. Job description Soft matter such as polymers and hydrogels