200 data-"https:"-"https:"-"https:"-"https:"-"Dr"-"L2CM" PhD positions in United Kingdom
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Field
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These are extraordinary times for research in gravitational waves and cosmology. A wealth of new data from cutting-edge observatories is transforming our understanding of the Universe, opening
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to better predict incident disease from high-dimensional genetic and non-genetic data, quantification of trait heterogeneity and asymmetry from imaging data, leveraging biobank genetic and prescription data
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Supervisor: Rostislav Mikhaylovskiy Lancaster University is pleased to offer a PhD studentship supported by Green Future Fellowship project: Terahertz magnetic recording for green data storage
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neuroimaging data Proven record of ability to conduct high quality research in relevant health related subject Previous coding experience (e.g. python, bash, matlab) Good administrative skills, and the ability
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of pre-eclampsia Research area and project description: Pre-eclampsia affects 1 in 10 pregnancies, yet diagnosis remains uncertain. This PhD will integrate clinical data and blood biomarkers to improve
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storage leads to serious issues like diabetes, high blood pressure, and heart disease. Doctors often miss these problems because these people appear healthy on the outside. The student will use data from
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, maintenance logistics, and weather-related downtime for offshore wind assets. Drawing on climate projections, metocean datasets, and offshore O&M modelling techniques, the research will develop data-informed
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closely with project partners (Philippines, Vietnam and University of West London, UK) to analyse results, gather relevant data for modelling, and ensure accurate data collection Analyse data, interpret
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data such as online customer reviews. This work will produce a generalisable, open-source tool for computing variable-threshold accessibility indices. Examine the relationships between N and health and
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. This will provide uniquely high-resolution ground-truth data on particle and flow behaviour within RAM systems, supporting validation of CFD and multiphysics simulations and, where appropriate, training of AI