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as part of frontier AI labs are also welcome. Excellent skills in coding, strong foundations in mathematics, and knowledge in deep learning. Practical experience in a broad range of techniques
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budget. This enables (1) lifelong learning via a permanent, sub-linearly growing memory , (2) inference-time hyper-scaling for reasoning and agentic tasks (e.g., advanced maths, science, coding), and (3
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demonstrate: Experience acquiring human neurophysiological or neuroimaging data — EEG, MRI, or both. Experience working directly with research participants Proficiency in coding, for example in MATLAB, and
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the UK and abroad. (Some relevant publications from the team DOI: 10.1126/science.aar8313 , https://doi.org/10.7554/eLife.79890 , https://doi.org/10.1038/s42003-025-08326-y , DOI: 10.1126
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drug therapies and the identification of optimal treatment combinations for antifungal-resistant C. auris strains. Some recent publications of the Ballester group in this broad area are: https
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disciplineExperience in failure modelling of fibre-reinforced composites using FEM In addition: Experience in using AI for modelling of fibre-reinforced composites Practical experience with coding failure
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scientific coding (e.g. Fortran, Python, C++) An interest in working in a larger group, collaborating with industry. What we can offer you The opportunity to build a strong network with contacts at Airbus
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coding, for example in MATLAB, and in handling large-scale neural datasets. A developing publication record, with at least one first-author manuscript published or in late-stage revision. Knowledge of
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neurophysiological or neuroimaging data — EEG, MRI, or both. Experience working directly with research participants Proficiency in coding, for example in MATLAB, and in handling large-scale neural
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, NeurIPS, ICML, ICLR etc. We expect excellent skills in mathematics, especially knowledge in formal methods, stochastic systems and processes, the foundations of deep learning. Experience coding