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- Literature review and data analysis. - Development of predictive models and innovative risk assessment methods. - Sample analysis and toxicological evaluation. - Probabilistic exposure modeling and uncertainty
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methodologies for risk-based inspection and maintenance planning in wind turbine systems. You will work on designing a robust, data-driven decision framework that integrates structural models, probabilistic
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), quantization and sharding, prompt optimization, reinforcement learning, Transformers/Deep-SSMs/Test-Time Regression. Experience with probabilistic machine learning, including but not limited to Gaussian
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well as experience in the development of novel probabilistic methodology. Previous research experience in random interfaces and lattice models would be an advantage. What we offer As well as the exciting opportunities
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-time postdoctoral grant in Probability and Statistical Physics - CY Cergy Paris University Mathematical modelling of complex systems often involves combining deterministic structures with probabilistic
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Control / robotics / feedback systems Optical systems / optical tweezers / laser-based manipulation Probabilistic modelling / tracking Software in the loop (SiL) Strong mathematical / statistical skills and
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on microscopy or time-lapse data Experience in at least one of: tracking / time-series analysis, probabilistic modelling / uncertainty, real-time or streaming pipelines Strong mathematical / statistical
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probabilistic behavioral models for verification, performance evaluation, and optimization using model-checking techniques, ultimately bridging static system design and dynamic operational analysis. We offer
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-leading, diverse and UK-wide research programme in probabilistic AI. The hub will develop the next generation of mathematically-rigorous, scalable and uncertainty-aware AI algorithms. This will be achieved
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work on designing a robust, data-driven decision framework that integrates structural models, probabilistic degradation processes, and operational monitoring data. Your research will focus on identifying