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Methods Why are genetic variants that increase disease susceptibility maintained in populations, when natural selection should eliminate them? Understanding how and why genetic variation is maintained is a
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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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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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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
: Algorithm Validation and Use Case Demonstration (Months 27–36): This WP will first develop an integrated hardware–software testbed to systematically validate the performance of proposed solutions under
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. The ML will use 500,000 fundus images from open-source and customised retinopathy datasets. We will compare retinopathy grading accuracy by NHS clinician vs ML algorithm. This will build on Exeter’s
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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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Researcher will influence the direction of application areas and algorithm development, receiving direct training in InSAR processing, geospatial data science, and agricultural remote sensing. Co-supervision
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Methods Selfish X chromosomes are a fascinating form of ‘unfair’ mendelian genetics. Males bearing a selfish X can sire only female offspring as Y-bearing sperm are destroyed during spermatogenesis by
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recovery. We are looking for a Doctoral Researcher with a strong interest in ecology, conservation and genetics / genomics to develop the following research questions: Have British bat populations declined