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from reactive to proactive. The goal is to increase transparency and trust in the DNS namespace. Key research activities will include applying machine learning and graph-based techniques to uncover
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of Chemistry There are 5 PhD studentships available in the Warwick Electrochemistry and Interfaces Groupled by Profs Patrick Unwin and Julie Macpherson Profs Unwin and Macpherson are internationally
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, neuroimaging and clinical psychiatry, with direct clinical impact. Your main activities are: analyzing and integrating multimodal MRI data for biotype identification; applying machine learning and advanced
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. The research in the PhD project will focus on core spatio-temporal machine learning method development, including: generative models for grid-based and particle-based spatio-temporal data; controlled generation
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PhD Research Fellow in Multimodal Large Language Models for Patient-Generated Data in Shared Decision Making (DC7) (ENDOTRAIN) PhD position at Adhera Health SL (Spain) and the University of Bergen
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series analyses, (2) Earth or planetary remote sensing, (3) Data science approaches, including statistical methods, handling of large datasets, pipeline development and/or machine learning (4) Full stack
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15th February 2026 Languages English English English PhD Research Fellow in Multimodal Large Language Models for Patient-Generated Data in Shared Decision Making (DC7) (ENDOTRAIN) PhD position
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) within the Department of Computer and Information Science . At STIMA we conduct research and education in both statistics and machine learning, at the undergraduate, advanced and PhD levels. We regularly
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overuse injuries. Wearable sensors to quantify of the impact and benefit of sleep on the recovery, performance and overall wellbeing of athletes. Using big data and machine learning methods to identify
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-scale metagenomic assembly and genome recovery • Comparative genomics and molecular evolution • Machine-learning-based protein prediction • Data integration, bioinformatics and phylogenetics • Scientific