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- and decision-support systems for sustainability and circularity Contribute to the development of digital solutions to enable informed decision-making grounded on a sustainable and responsible use
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information- and decision-support systems for sustainability and circularity Contribute to the development of digital solutions to enable informed decision-making grounded on a sustainable and responsible use
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-up. In the ZonMW-funded AI for EVAR project, we develop multi-modal models for optimized selection of treatment before, and follow-up after EVAR. You will implement and advance multimodal deep learning
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Postdoctoral researcher for developing microfluidics for research on synthetic cells Job description In this project we will use the excellent microfabrication facilities of the Kavli Nanolab
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part of our team, you will leverage state-of-the-art single-cell, spatial and organoid technologies in a collaborative and interdisciplinary environment. Research focus We welcome candidates with a
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description As part of Tata Steel’s decarbonisation strategy, the blast furnace burden is undergoing a transformation. Traditional materials like pellets are being replaced or supplemented with low-carbon
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the robot/swarm functions between the human operator and a continuously learning robot intelligence. Two key applications will be examined: 1) a swarm of drones performing complex manoeuvres, and 2) robotic
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optimize the synthetic genome that encodes for a biological function such as shape manipulation. Next to all this, the candidate will also do research on entropic segregation of synthetic genomes by testing
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-optimal production outcomes. Deviations from normal behavior have diverse causes, ranging from misplacement, heterogeneity in material, to fatigue. Locating such issues in the production line can be
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-optimal production outcomes. Deviations from normal behavior have diverse causes, ranging from misplacement, heterogeneity in material, to fatigue. Locating such issues in the production line can be