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future development of an ongoing epilepsy research project funded by the UK Epilepsy Research Institute. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on
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appropriate training and professional growth. About the role We are delighted to invite applications for a PhD training fellowship at the Cicely Saunders Institute, King’s College London as part of an NIHR
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, conducting evaluations and contributing to new methods development. PDRF: Lead cost-effectiveness evaluations, develop de novo economic models and new methods. SRF: As above with significant leadership
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using a variety of advanced methods with the support of project supervisors. The postholder will have completed a PhD in a relevant discipline and have expertise in quantitative research methods
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for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area or equivalent professional experience Familiarity and experience with NLP methods and
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spatial transcriptomics and imaging genomics projects, integrating bulk and single-cell RNA-seq datasets, and applying advanced statistical and machine-learning methods (AI/ML) to extract novel biological
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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which they operate. We have established collaborations across the globe and built a research programme that leverages high throughput, high-resolution sequencing platforms and novel analytical methods
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your application has changed. To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Higher degree (MD, PhD or equivalent) in a
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criteria PhD qualified in relevant subject area within the last seven years at point of application Expertise in teaching and researching in the Modern History of Britain and the World Clearly defined