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are being made with incomplete information. Synthetic data offers a way out: realistic-but-artificial datasets that preserve the statistical, temporal and physical structure of real energy data without
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which information to explore, and how different ways of structuring learning environments influence curiosity and learning. Computational models will be used to characterise individual differences in
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such as Bayesian modelling and optimal control theory. Using state-of-the-art methods – including virtual reality, wearable sensing, motion platforms and advanced data analytics – you will place particular
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with incomplete information. Synthetic data offers a way out: realistic-but-artificial datasets that preserve the statistical, temporal and physical structure of real energy data without identifying real
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with incomplete information. Synthetic data offers a way out: realistic-but-artificial datasets that preserve the statistical, temporal and physical structure of real energy data without identifying real
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explore, and how different ways of structuring learning environments influence curiosity and learning. Computational models will be used to characterise individual differences in information-seeking
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of protein-based materials and biocatalysts using synthetic cells. A key objective is the bottom-up construction of synthetic cells that are capable of sustained protein production. This is a formidable
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into the academic world offered exactly what I was looking for: the freedom to immerse myself in my area of expertise and the flexibility to structure my time. That brings balance and allows room for meaningful side
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societies', IMR focuses on academic research into the development, design and effectiveness of the public and private structures that regulate, govern or manage human interactions. This position will be