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to the interior of the cell. GPCRs are involved in multiple physiological process including cell growth, neurotransmission, metabolism & immune response; they can misfunction in disease and consequently have served
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designed to meet multiple needs in marine biodiversity monitoring. The project aims to develop embedded novel deep learning and computer vision algorithms to extend the system’s capabilities to classify
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operation, is not considered in the CMF model due to the challenge to solve the multiple partial differential equations simultaneously. With the support of the combined sponsorship from the university and
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EPSRC iCASE PhD studentship with SLB - Computational modelling of advanced geothermal systems School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded UK Students
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environment. Research at the Crick spans multiple disciplines and aims to improve our understanding, diagnosis, prevention, and treatment of disease. The Programme: Fellows are based at the Crick and supported
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by detecting and predicting threats such as pests, diseases, and environmental stress in line with the UK Plant Biosecurity Strategy. The project harnesses computer vision, deep learning, and large
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multiple events. Number Of Awards One Start Date January or April 2026 Award Duration 4 Years Application Closing Date 14th November 2025 Sponsor EPSRC Supervisors Dr. Maria Peppa Dr. David Milledge Dr
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will explore the influence of multiple copies of the stx2a toxin gene, investigate the diversity of the prophage that carry the toxin and identify additional genetic factors contributing to HUS. To do
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sequencing and researching disease in patient cohorts, working with machine learning techniques and programming computers. The candidate will learn about different flavors of metagenomic sequencing, how
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effects on the human host, either beneficially, such as antibacterial compounds, or negatively, such as toxins. Computational analysis of genomic data highlights a vast number of pathways to such molecules