32 python-"DIFFER"-"Integreat--Norwegian-Centre-for-Knowledge-driven-Machine-Learning" PhD positions in United Kingdom
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frameworks to maximise compression ratios. We will use predictor models which estimate projections or slices, storing only differences between the prediction and original data. Because errors are small and
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theory and framework to study and explain how different reservoir systems work and how to design them for specific tasks. The project will combine: Mathematical modelling of dynamical systems
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applications. The project is partially funded by AMD, and the successful candidate will collaborate with AMD researchers. As part of this research, you will: Investigate how different AI tasks perform on AMD
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, ELT/ETL pipelines, AI/ML, Unity and Unreal Engine development, shading, real-time simulation, immersive scientific visualisation, digital twin, C/C++, Python are desirable. Applications from both UK and
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to cover the difference between the home and international tuition fees. Exceptional international candidates may be provided funding for this difference. Number of places: 1 Number of places extra
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electricity risk indices for Europe and test whether firms more exposed to electricity price risk face different market valuations and stock return dynamics. Subject areas: Econometrics, Finance, Mathematical
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*ideal candidate* is expected to have: - Very good experience in programming in Python or Matlab and data analysis (essential) - Research experience (essential, e.g., through research MPhil/Master’s degree
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. Unlike standard missing data problems (e.g., missing height or lab results), researchers often do not know when information on symptoms is missing. The usual approach is to assume that if there is no code
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to differential privacy and statistical divergence frameworks Robustness to adversarial relearning — designing unlearning protocols that remain stable under fine-tuning attacks, jailbreak-style probing, and multi
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a window of at least 10 days (an example task for a different role within the research group is available here ). A start date of May or early June 2026 is preferred, although later start dates may be