73 computational-physics-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at Nature Careers in United Kingdom
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computing and advanced technology, driven by innovation, diversity, and a commitment to excellence. We’re creating an environment where brilliant minds from all backgrounds collaborate to push the boundaries
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the future. The Institute brings together researchers in life and physical sciences, and engineering, to develop a spectrum of tools which we will use to image, interpret and intervene in biological systems
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. The role forms part of an exciting collaboration with researchers at the Flatiron Institute’s Centre for Computational Biology and Centre for Computational Mathematics. The project focuses on Cullin-RING E3
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computational innovation. These new posts are funded through the £11.9m University College London Hospitals NHS Foundation Trust (UCLH) Strategic Research Fund (SRF), supporting UCL's ambition to deliver world
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-to-plant turnaround and downstream trait validation. Your Responsibilities: You will play a pivotal role in advancing the institute’s research program. Successful candidates will focus on developing high
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team in the Scientific Research & Innovation group. Within a week of working here, your day could look like this: Provide senior scientific expertise for the regulatory science research programme in
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the biology of lung tumour evolution based around analysis of next generation sequence (NGS) data and the tumour microenvironment from the TRACERx longitudinal lung cancer program. Our aim is to trace
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Pathogen Programme. Reporting to Head of Population Data Science, the role involves collaborating with internal teams and external partners to assess, develop methods for, and implement at scale
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collaborate with other departments and institutes on the campus including the Department of Oncology, Kennedy Institute (immunology), the Jenner Institute (vaccines), the Big Data Institute (computational
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programme, with St Andrews, promoting general-ism alongside secondary care exposure, ensuring to place patients at the centre of the students’ learning. Graduation of the first cohort is anticipated in 2028