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. via a comprehensive training program; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 3 months ago
seeking a highly motivated PhD Candidate in Molecular Epidemiology to be based at the headquarters of the German Center for Neurodegenerative Diseases (DZNE) in Bonn, Germany. We are looking
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position within a Research Infrastructure? No Offer Description Work group: JSC - Jülich Supercomputing Centre Area of research: Scientific / postdoctoral posts Job description: Your Job: In this position
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. This includes integrating GIS with Industrial Ecology approaches to capture both direct and indirect impacts of climate hazards. A key methodological contribution is the combination of multi-regional input–output
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: The activity will be carried out @ Center for Sustainable Future Technologies (CSFT) – IIT, Via Livorno 60, 10144, Turin, Italy. Step into a world of endless possibilities, together let’s leave something for
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Behavioural Sciences consists of five institutes: Centre for Science and Technology Studies, Cultural Anthropology and Development Sociology, Political Science, and Psychology. The faculty has approximately
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application! Work assignments The multi-disciplinary centre for cyber resilient AI, RESIST, is a national effort funded by the Swedish Strategic Research Foundation (SSF) to bring together leading researchers
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electronic technologies, combining high‑fidelity multiphysics modelling with modern data‑driven design methodologies. The successful candidate will help drive advances in: Broadband electromagnetic and multi
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-derived motor neurons and Drosophila models. Now, we need a curious and driven PhD candidate to help us analyze these samples using spatial multi-omics. This is a joint project between Prof. Albena
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to advance the theory and practice of multi-task learning. The problem will be framed in the context of kernel-based methods for identification, aiming for a principled representation of task