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Field
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methods to assess the impacts of adaptation measures to reduce climate risk. This will be done by collecting large-scale datasets and using these data sets in a new modelling framework (GEB) which
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-wide traffic prediction Design physically consistent and interpretable machine-learning methods for dynamic traffic systems Test and validate prediction models using large-scale real-world traffic data
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16 Aug 2026 Job Information Organisation/Company Wageningen University & Research Research Field Political sciences » Public policy Researcher Profile Recognised Researcher (R2) Leading Researcher
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solvable models) alongside large-scale numerical simulations on high-performance computing facilities Characterize the transitions that govern quantum information protection, from encoding and decoding
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, longitudinal patient and population registries and biobanks. Project description Large language models (LLMs) enable the extraction of clinical information from unstructured medical text. However, current LLM
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resilient infrastructure. The successful candidate will join a large dynamic team of researchers working on different challenges. The key responsibilities are driving, planning and conducting innovative
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
an independent research program. * Experience utilizing high-performance computing or cloud-based environments for large-scale biological data analysis. * Demonstrated record of original scholarship, including
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infrastructure, public safety and smart environments. The successful candidate will be supervised by Dr Deval Mehta within the Department of Data Science & AI, Faculty of Information Technology, Monash University
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processes for manufacturing large area meta-materials. In particular, we will focus on roll-to-roll (R2R) processing methods, which we seek to combine with emerging bottom self-assembly processes and top-down
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can count on dedicated support throughout the process. Whether you're formulating your research questions, collecting samples in the field, analyzing data, or publishing your findings, you'll be