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scientific computing, contributing both methodological innovation and translational impact. Close collaboration with Helical-AI will ensure that developed models are integrated into a production-grade platform
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Applications should include: Curriculum Vitae Cover letter including a statement of research interest List of publications The names and email address of at least 2 references who can be contacted
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We invite applications for a postdoctoral researcher to join the UMLFF project at the University of Luxembourg. The project aims to develop the next generation of uncertainty-aware machine-learning
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the molecular and cellular alterations contributing to neurodegeneration in familial and idiopathic forms of PD, Dementia with Lewy bodies (DLB), atypical parkinsonism (e.g. PSP or MSA), and REM sleep behaviour
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environments Vision–Language–Action Models: Practical experience with multimodal models combining vision, language, and action for embodied agents, robotics, or autonomous driving applications Perception and
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of Europe (2016) and structured around UNESCO’s three dimensions for GCE – cognitive, social-emotional and behavioral. The successful applicant will be affiliated with the Institute for Teaching and Learning
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research at national and international conferences Contribute to competitive funding applications For further information, please contact Prof. Dr. Robin Samuel: (+352) 46 66 44 5084 / robin.samuel@uni.lu
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models, contributing to bridge transport economics, network modelling and activity-based modelling, and leverage different types of (big) data. The applicant should be a creative and motivated researcher
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Validation (Serval) research group and work on a research project related to the application of machine learning for official statistics. The subjects of the research are: AI-assisted Bond Issuance, Causal