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standards and safer vertical transport. Information The availability of remote monitoring and big data opens up new opportunities to innovate traditional safety assessment and certification methods, which
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technology adoption, and whether these digital technologies might affect users’ attentive abilities. We aim to do so through large-scale secondary data analyses of existing cognitive psychology data; new
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machine learning solutions to optimize the component lifecycle directly contributing to a more circular economy. Information In the manufacturing landscape, determining whether a component should be
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of the ERIM Business Processes, Logistics, and Information Systems (LIS), Supply Chain Management (SCM) section doctoral program is to be at the forefront of developments in its domain. We are committed
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at Maastricht University are largely set out in the collective labor agreement of Dutch Universities. In addition, local provisions specific to UM apply. For more information, click here . Faculty of Science and
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activities of the Schlundt lab here . We are excellently embedded in a large research infrastructure and with the neighboring departments as well as one of Germany’s best university hospitals. The full job
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. The position The successful candidate is expected to work closely with the LoCiS PI, Professor Rubina Raja, on a number of tasks, including: supporting large research/publication projects (including copyediting
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17 Oct 2025 Job Information Organisation/Company ETH Zürich Research Field Chemistry » Other Engineering » Chemical engineering Engineering » Computer engineering Engineering » Electrical
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inflammatory diseases including diabetes, cardiovascular, and Alzheimer’s disease. Successful candidates will lead projects using multi-omics datasets from large sample sizes of disease relevant tissues/cells
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that language can be fully expressed in the visual modality. - Using large-scale data-driven methods to recognise and interpret the interplay of speech and other modalities. This could involve training