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developing the theoretical and algorithmic foundations of compositional world models. A key application focus of the grant lies in rapid and safe real-world skill acquisition in application domains such as
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for real-time human data processing in interactive settings. Technical expertise in areas such as electrophysiological recording, VR paradigm design, closed-loop algorithm development, or clinical
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/DPhil in a subject relevant to Biochemistry and have specialist knowledge on an aspect which is pertinent to the project, such as chromatin biology, molecular evolutionary analysis, molecular dynamics
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characterization and benchmarking techniques for quantum algorithms on devices at or beyond the 16-transmon scale. They will also contribute to designing large-scale control and readout multiplexing based on cQED
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” and “wet” lab workflows). You will be able to Design, develop and implement algorithms and systems based on foundation models, large language models and/or AI agents for automated scientific discovery
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Regularization. We aim to develop mathematical understanding of implicit regularisation properties in deep neural networks to guide the development of algorithmic paradigms aimed at combining statistical
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such as UK Biobank. You will design and optimise scalable computational pipelines and algorithms to construct and evaluate foundation models for whole-body and abdominal MRI. Alongside this, you will