155 phd-in-architecture-interior-design-built-environment Fellowship positions in london
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are included but clinical medical themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data
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Job id: 119505. Salary: £53,149 - £62,422 per annum, including London Weighting Allowance. Posted: 09 July 2025. Closing date: 27 November 2025. Business unit: Research Management & Innovation
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a core module on our Applied Bioinformatics MSc, designing the syllabus, delivering lectures and hands-on tutorials, setting and marking assessments, and mentoring students. You will also develop and
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a core module on our Applied Bioinformatics MSc, designing the syllabus, delivering lectures and hands-on tutorials, setting and marking assessments, and mentoring students. You will also develop and
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the applicant will be expected to design and conduct a range of experiments in relation to their research project and prepare and present findings of research activity to colleagues for review purposes
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(chemoradiotherapy) management is based at the purpose-built Cancer Centre at Guy’s Hospital. We have close working relationships with the Haematologists to diagnose primary CNS lymphoma and the CAR-T service
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processing, healthcare, energy and the environment through the application of nanoscience and nanotechnology. Founded in 2003, the LCN began as a joint venture between University College London and Imperial
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, progression, and response to treatments. You will be responsible for the successful design and implementation of the research to the highest academic standards, and to lead on writing up data for publication
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themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML
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themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML