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scientific discipline. Experience in developing and running an atmospheric transport model. Experience in interpreting data. Experience with FORTRAN and Python computer languages. Proven ability to work
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multiple aspects of work to meet deadlines. You will adapt existing and develop new scientific techniques and experimental methods, as well as contribute ideas for new research projects. You will use
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University Department of Psychiatry, clinical institutions such as Cambridgeshire and Peterborough NHS Foundation Trust, and with a secondment to industry (Akrivia Health) to advance science and develop common
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scientific breakthroughs. The successful candidate will lead research on ERC PoC project PepVerse within Prof. Knowles' research group at the Yusuf Hamied Department of Chemistry at the University of Cambridge
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offers an outstanding research environment including a dedicated physical space along with recently purchased high performance computing infrastructure to enable scientific breakthroughs. Further, DERI
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dedicated physical space along with recently purchased high performance computing infrastructure to enable scientific breakthroughs. Further, DERI leads the university’s participation in The Alan Turing
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supervision, are self-motivated and have strong computational and scientific writing skills. We provide a nurturing environment and access to high-dimensional pathogen genome, human mobility, epidemiological
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the Centre for Advanced Robotics at Queen Mary (ARQ), School of Engineering and Materials Science (SEMS), Queen Mary University of London (QMUL). You will be employed to work in the ERC-funded project
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and science exploitation of the MIGHTEE survey data. The postholder would have the opportunity to identify new discoveries in the data and would be ideally placed to lead the science based on the data
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computational and scientific writing skills. We provide a nurturing environment and access to high-dimensional pathogen genome, human mobility, epidemiological, and climate datasets. For those interested we