414 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Dip" Postdoctoral positions in United Kingdom
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reconstructions of quantum theory, indefinite causal structures, extended Wigner's friend scenarios, and quantum reference frames. The team is embedded within the Quantum Optics, Quantum Nanophysics, and Quantum
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of novel Polyhydroxyalkanoate (PHA) structures, which includes the creation of a high-throughput computational pipeline designed to engineer advanced biodegradable materials with application in sustainable
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2025). Our microchip-based escape-time technology platform now enables measurements of the physical properties of macromolecules such as their electrical charge, size and 3D conformation with
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to develop a program of work investigating how brains use internal models of task and world structure to enable flexible goal-directed behaviour. The experiments will involve recording and/or manipulating
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period of 12 months in the first instance, with potential to extend. The project involves advanced theory for new ultrafast imaging experiments and is funded by Engineering and Physical Sciences Research
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of novel Polyhydroxyalkanoate (PHA) structures, which includes the creation of a high-throughput computational pipeline designed to engineer advanced biodegradable materials with application in sustainable
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to cutting-edge efforts to predict and understand psychosis and affective disorders. We welcome applicants with a background in psychology, psychiatry, biomedical engineering, or related disciplines who
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to cutting-edge efforts to predict and understand psychosis and affective disorders. We welcome applicants with a background in psychology, psychiatry, biomedical engineering, or related disciplines who
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-structured interviews with young people about these practices. Your tasks will include: applying qualitative and quantitative methods from visual studies, digital ethnography, and/or applied linguistics
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to work within one of, or across, the four research themes: Learning with Structured & Geometric Models, Low Effective-dimensional Learning Models, Implicit Regularization, and Reinforcement Learning