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early as the advert may be removed before the deadline. High-dimensional computations are ubiquitous in science and engineering, often arising from models with numerous parameters. For instance
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The School of Computer Science at the University of Nottingham is pleased to invite applications for a fully funded PhD studentship in deployable, efficient, and trustworthy computer vision. This is
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the central challenge hindering this vision: the fundamental incompatibility between text-native LLMs and the operational reality of computer networks. Directly applying LLMs is impeded by three core technical
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for computer, lab, and fieldwork costs necessary for you to conduct your research. There is also a conference budget of £2,000 and individual Training Budget of £1,000 for specialist training Project Aims and
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action discretization, exploration parameters, and decision intervals significantly affects algorithmic convergence and system performance. Distributional RL techniques, such as quantile regression and
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for computer, lab, and fieldwork costs necessary for you to conduct your research. There is also a conference budget of £2,000 and individual Training Budget of £1,000 for specialist training Project Aims and
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Food passage time through animal guts is a critical parameter for constraining an animal’s ability to act as an agent of nutrient, seed, microbe, or pathogen dispersal in its ecosystem. Current
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pathways, whilst their omission can introduce significant systematic biases in parameter estimation, detection pipelines, and tests of fundamental physics. In this PhD project, you will develop a
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to semi-automate or fully automate quantification of experimental data with relevant checks for robustness, accuracy, and precision. Alternate pulse sequences/acquisition parameters to increase throughput
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to learn laboratory methods for analysis of relevant BGC parameters. Training: You will be based in the Polar Oceans Team at British Antarctic Survey, a highly active research team focused on both