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/or experimental techniques, equipment, and processes as appropriate. 5. Develop and enhance your research profile and reputation and that of the University of Glasgow / School of Molecular Biosciences
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was established in 1831 and has played an integral role in the life of King's since the university was formed almost 200 years ago. King’s has been in service to society since its foundation and we’re proud
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Action on Salt and Obesity (RASO) Unit based within the Centre for Public Health and Policy, which works nationally and internationally to develop, implement, and evaluate evidence-based public health
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
strong effects on guest binding, diffusion and even the dynamic behaviour of the entire MFM. In this project, funded by the Leverhulme Trust, we will develop a machine learning platform to describe
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drug development and evaluation. The successful applicant will be required to work primarily on in vitro and ex vivo screening of drug candidates. The work will be conducted at the Peter Medawar Building
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that will revolutionise our understanding of carbon dioxide biology. The wrok will be perform in collaboration with colleagues at Warwick University. The position offers an exciting opportunity to develop
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, including molecular clouds (properties, formation, evolution), dynamics (supermassive black hole mass measurements, gas flows, active galactic nucleus feedback), and any other facets of the data not yet
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The laboratory of Prof. Simon Davis and Dr. Mafalda Santos at the MRC Weatherall Institute of Molecular Medicine (WIMM), University of Oxford, is seeking a talented and motivated Postdoctoral
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of Pathology, University of Oxford to study interplay between ADP-ribosylation and ubiquitination signalling in DNA damage and/or immunity responses. The post-holder will be responsible for managing own academic
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algorithms. The research focuses on wind energy applications, creating a compelling sustainability narrative: developing more efficient computational methods to optimize wind farm performance, which in turn