123 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "P" Postdoctoral positions at University of Oxford
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to develop a program of work investigating how brains use internal models of task and world structure to enable flexible goal-directed behaviour. The experiments will involve recording and/or manipulating
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: Full Time (37.5 hours per week) About the role The lab of Dr Michael Ranes are seeking a talented Postdoctoral Research Associate to investigate the molecular mechanisms driving the Wnt/beta-catenin
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clinical trials, and developing personalised models to understand therapy response characteristics. You will contribute to a pioneering tissue-focused research programme aimed at enhancing cure rates
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This 36-month postdoctoral position is part of the project ENLIGHT (Enabling a Lifecycle Approach to Graphite for Advanced Modular Reactors) consortium, a £13.2 million, five-year programme
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program exploring the role of fluctuations in molecular transport processes by studying highly controlled experimental models at the meso- and nanoscale, funded by a UKRI Frontier Research Guarantee Grant
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characterisation programme as a postdoctoral researcher. The ability to think outside the box with creativity, along with having the drive and ambition to develop those ideas in a highly experimental laboratory is
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to develop a personal research programme in observational or theoretical cosmology, with a particular emphasis on ultra-large-scale cosmology (including primordial non-Gaussianity and horizon-sized effects
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SECURE project, a major multi-partner programme developing self adaptive gene therapies for neurological disease. This will involve (1) producing a single nuclei atlas of the substantia nigra and (2
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proof-of-principle repetition-rate and staging experimentation. The successful candidate will perform duties that include developing/using particle-in-cell computer codes hosted on local and national high
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application of AI and machine learning models to interpret complex X-ray datasets, and the integration of experimental and computational insights to generate actionable knowledge that advances sustainable metal