804 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions in United Kingdom
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10 minutes and machine learning algorithms to deliver quantitative diagnosis without destroying the samples. The AF-Raman prototype will be integrated and tested in the operating theatre
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the lead on, plan, develop and conduct individual and/or collaborative research objectives, projects and proposals either as an individual or as part of a broader programme. - To acquire, analyse
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candidate will work on an interdisciplinary Human Frontier Science Programme grant to unravel the functional ecology of heterotrophic protists, combining behavioural assays, ultrastructural and morphological
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opportunities to apply for independent research funding or to develop proposals for a laboratory, clinical or translational research proposal for a higher degree (PhD/MD). Main duties and responsibilities
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The University of Southampton are seeking to appoint a fixed term research fellow to facilitate and deliver a programme of research on a Faraday Institution funded project: SL2FBat - Sustainable
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exciting project, funded through a CRUK Programme Foundation Award, seeking to discover novel mechanisms of oncogene activation occurring through enhancer dysregulation, with a focus on noncoding somatic
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years of completing their PhD, although career breaks for parental leave and/or health reasons will be considered. This is because the roles are aimed at early career academics who would benefit from a
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vision is to make clean energy accessible to drive climate action and enable children raised in off-grid and informal settlements to reach their full potential. We are looking for a Research Associate
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programme. To acquire, analyse, interpret and evaluate research findings/data using approaches, techniques, models and methods selected or developed for the purpose. To establish a national reputation and
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training, conferences, and meetings. Mentorship in ocean simulations, submesoscale dynamics, and data analysis will be provided. About you You must hold a PhD (or equivalent experience) in a relevant field