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Application/interview Good working knowledge of a relevant computer programming language, for example Matlab, Python or C/C++. Essential Application/interview Good working knowledge of software packages
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line with project objectives. Plan and conduct ecological monitoring fieldwork in three English cities, utilising novel instrumentation and tried-and-tested sampling methods (vegetation, birds, insects
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Neuro-Symbolic Methods for Explanation-Based Reasoning with Large Language Models
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of the research programme as discussed with the fellowship supervisor. Contribute to research group planning. Coordinate and liaise with other members of the research group over work progress. Supervise research
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or field data for data assimilation. (e.g. [8]) Training & Skills You will benefit from a taught programme, giving you a broad understanding of the breadth and depth of current and emerging offshore wind
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report to line manager(s) on a regular basis. Work with industry partners in the programme to define the basic component requirements as well as manufacturability metrics required for viability
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/MSc or equivalent in Computer Science or Software Engineering (assessed at: application/interview). A track record in software testing, testing for autonomous systems, or autonomous driving system
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be used to demonstrate the ability to detect both gradual degradation and faults in the machine. Training & Skills You will benefit from a taught programme, giving you a broad understanding of the
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Computational Spectroscopy/Hydrogen-tunneling at elevated temperatures in the gas-phase School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application
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application statement. Essential criteria Must have a technical background with experience in the software development lifecycle. Previous experience as a software engineer or developer is crucial (assessed