15 machine-learning-"https:"-"https:"-"https:"-"https:" positions at University of Exeter
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expand current technology to include automated live analysis, integrating machine learning algorithms capable of interpreting the complex behavioural patterns of mussels in response to environmental stress
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environments like health care and environmental monitoring. This PhD project aims to address these challenges by exploring how evolutionary algorithms and reinforcement learning (RL) techniques can be combined
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for REF 2021 - Research Excellence Framework. For more information about our research results and case studies please visit the following link: https://www.exeter.ac.uk/research/ref2021/ Projects Available
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research, develop and apply state-of-the-art optimisation and machine learning methods to problems within ship design, encompassing hull, powertrain and internal designs. The successful candidate will have
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-processing system IMPROVER for blending probabilistic weather forecasts. The project will assess whether incorporating AI outputs and machine learning-based blending methods can enhance forecast accuracy
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well as retinal fundus images, we will explore analysis of new eye image datasets including OCTA and CCM images for diagnosis of diabetic neuropathy Machine Learning: We will develop artificial intelligence (AI
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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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the TroPeaCC project. Applicants will be able to keep accurate records, be able to organise their work, be computer literate, have good analytical skills, good communication abilities l and will be able
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(including but not limited to computer vision, natural language processing, optimization) and possess sufficient specialist knowledge in the discipline to develop research programmes and methodologies
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are proud signatories of the Armed Forces Covenant and welcome applications from service people. Benefits We offer some fantastic benefits including: 41 days leave per year options for flexible working