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related to gravitational wave astronomy. The primary aim will be the development of advanced approaches for computational Bayesian Inference to measure the properties of Compact Binary Coalescence signals
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to someone proactive and ambitious who has obtained their PhD and has begun an academic career in epidemiology, pharmacoepidemiology, or medical statistics, with a focus on causal inference methods applied
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Astronomy project “INTIME: Inferring the timing properties of neutron stars with hierarchical profile-domain timing” led by Dr Greg Ashton. The successful candidate will join Royal Holloway’s Astronomy Group
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-motivated postdoctoral researcher with a strong background in biology and experience in bioinformatics. Experience in multiplex proteomics and sequencing analysis and a track record of effective communication
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policies. The Unit aims to improve population health and food environments through research and impact on the nutritional quality of food and drink, with a track record of success in reducing salt and sugar
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have a PhD and track record in either computer science with specialisation in relevant AI technologies for surrogate modelling, or in Earth or Environmental Science with a strong track record in
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a related discipline. You will have hands-on experience with engineering designs, circuitry, system control, and integration, with a special emphasis on mechatronic and robotic systems. Your track
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of a team. About You The candidate should have a PhD and ideally post-doctoral experience in an area relevant to the project, a productive track record, and experience covering the full range of duties
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and/or evolutionary biology, with significant experience in embryological methods, single-cell/nuclei approaches, and general molecular biology techniques. A track record of high-quality published
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(or close to completion) in Biochemistry or Biophysics and have an established track record of success in high-quality original research. Previous experience in some of the following is key: Amyloids