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engineering stimulated by recent developments in machine learning, the project investigates how runners’ shared social identity can influence their movement synchrony, physical load, and interaction with
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high branching ratio of H(bb) and the high detection sensitivity of the H(γγ) channel. Since the di-Higgs production cross-section is 500 times smaller than that of a single Higgs boson, this process has
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, scalable energy concept in which the computing infrastructure and energy system are tightly coupled and jointly optimized. During the project, a container-scale prototype will be realized, which will combine
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into the sample of interest. Recently we have been using AI and machine learning to predict the distortion present and significantly speed up this correction process. This PhD project will take the latest in AI
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every two years); Free parking spot. Selection process The recruitment process consists of three stages: a) selection of candidates by the Committee based on the alignment of the candidate’s competencies
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industrial scale powder processing routes have been used for mixed oxide (MOx) fuel manufacture, both approaches rely heavily on milling — typically ball milling — to reduce particle size, mix powders, and
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a key challenge in sustainable process engineering: translating microbial electrolysis cell (MEC) technology from lab-scale innovation to robust, industrial deployment. The research will sit at
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10th July 2026 Languages English English English The Department of Geosciences has a vacancy for a PhD Candidate in green flotation chemistry for sustainable mineral processing - IV-27/26 Apply
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Selection procedure for admission to the PhD programme in
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are developing scalable prototypes of a quantum computer and a secure quantum internet. We believe quantum technology will be a game changer in many social and economic sectors - including health, agriculture