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23 Mar 2026 Job Information Organisation/Company Slovak University of Agriculture in Nitra Department Institute of Economic Policy and Finance Research Field Economics Researcher Profile First Stage
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of ion conductivity in complex battery materials on a large scale. Model‑generated data will be used to identify key relationships between material structure and ionic conductivity through advanced data
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deadline The application deadline has not yet been determined. Please check our website (www.ec2-big-nse.de ). Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree
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education regulations, and the European campus of Northeastern University – a large, top-tier research intensive, Boston based institution. Founded in 1898, Northeastern received $230.7m of external research
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project. These datasets will combine information from high-resolution experiments (HR-DIC, HR-EBSD, nanoindentation mapping) and large-scale numerical simulations performed using advanced FFT-based crystal
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will engage with large-scale longitudinal health data, develop and validate computational models, and contribute to methods that will enable pathogen-resolved population research across the lifespan
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Rapid situational awareness is critical when health systems are overwhelmed by major incidents, including Chemical, Biological, Radiological and Nuclear (CBRN) events and large-scale mass casualty
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, utilising high-performance computing (HPC) servers and data from large-scale facilities such as Diamond Light Source and ISIS Neutron and Muon Source. For informal enquiries please contact Dr Jay Warnett
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 days ago
Integrity Constraints. DAIS, 2024. [Preguiça19] Nuno M. Preguiça, Carlos Baquero, Marc Shapiro: Conflict-Free Replicated Data Types (CRDTs). Encyclopedia of Big Data Technologies, 2019. [Rault22] Pierre
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 11 days ago
developing new deep learning approaches that combine: Large-scale molecular dynamics data (via DynaRepo) Topological and geometric representations of molecular structures Advanced deep learning architectures