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cytometry will be an advantage. The project has a major computational component both for AI-driven modelling and predictions, and for bioinformatics analyses of wet-lab data. This will be performed by
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campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. About the role We are looking to recruit a Research Assistant with a BSc or MSc qualification
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An interest in outreach across policy and civil society and making computation methods accessible. Desirable criteria Experience with independent system dynamic modelling (e.g. not using software such as Vensim
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within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical questions and is aimed at novelty, understanding of physiology and
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the candidate on the topic of: ‘Outline a five year programme of research, to be pursued for the duration of the fellowship and a subsequent research grant, in the field of Modern British and World History’ We
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About us The School of Neuroscience at King’s College London is the second largest university neuroscience department in the UK, with approximately 100 faculty and a total of 600 staff and students. The School holds approximately £220 million in currently-active research grants, and, out of all...
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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of the eukaryotic cytoskeleton and/or virology General proficiency in computing, including an understanding of high-performance computing clusters Downloading a copy of our Job Description Full details of the role
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funded programme - Improving Care for children with life-limiting Conditions: developing, adapting, impLementing and Evaluating interventions (ICICLE). These three-year PhD Training Fellowship awards will
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development laboratories at Guy’s Campus, London Bridge. The group specialises in inventing custom fluorescence-lifetime and multiphoton technologies and coupling them with powerful computational pipelines