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language models (LLMs) and vision-language models (VLMs), you will investigate AI behavior, develop innovative evaluation methods, and translate scientific insights into real-world applications that improve
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battery-related hydrometallurgical leaching as a model system, the project combines controlled experiments, real-time monitoring, chemical analysis, and data-driven modelling. The postdoctoral researcher
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Postdoc Position in AI Foundation Models for Crop Microbiomes Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application
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machine learning for the next generation of AI models – uncertainty-aware foundation models, generative models and world models – with the support of competent and friendly colleagues in an international
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combining artificial intelligence with human expertise. The lab develops knowledge-grounded artificial intelligence, text mining and knowledge assembly, mathematical and systems modeling, and causal analysis
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educational programs, we are now seeking a postdoctoral researcher to work on privacy for data-driven models and high-dimensional data. The position is full-time for two years, starting on 12th January 2026
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with a strong focus on data driven models), they will also possess sufficient specialist knowledge in the discipline to work within established research programmes. Experience of supervising academic
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translational medicine in a milestone-driven research environment that bridges early discovery and clinical application. We are looking for a highly qualified individual with outstanding academic credentials, who
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community that is driven by its mission, where it will be possible for your work to directly make a difference for society. Benefits Friday afternoons off. Flexibility: our open working model combines remote
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-driven research questions, evaluate models rigorously, and communicate results through scientific writing and presentations. Demonstrated ability to connect data analysis and modeling assumptions