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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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component both for AI-driven modelling and predictions, and for bioinformatics analyses of wet-lab data. This will be performed by an excellent team of computational biologists with whom we have a long
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collaboratively with the Health Systems Collaborative at University of Oxford and the KEMRI-Wellcome Trust Research Programme (KWTRP) in Kenya. As a Postdoctoral Researcher, you will bring theoretical and practical
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colleagues in Psychology and Computer Science. The post will suit an individual looking to gain valuable experience in conducting high quality research. The successful candidate will join the Immersive
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on advanced material coating strategies. The project addresses the growing need to improve the surface properties and stability of LFP materials, especially under high-performance applications
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, symposia, or meetings, commensurate with career stage Desirable Advanced programming skills in Fortran and Python and experience with High Performance Computing Demonstrable experience in image data analysis
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developed goal-sequence generalization task. The project will integrate high-density silicon probe recordings, optogenetics, pharmacology and advanced computational tools to analyse neural algorithms
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in advanced bioimaging (including super-resolution, confocal and electron microscopy), genomics, proteomics, metabolomics, high-performance computing and field research. We promote research
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appliances, such as TVs, fridges, enable researchers to investigate demand-side management strategies, energy efficiency measures, and innovative energy-saving solutions; · High-performance computing
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will apply a multi-disciplinary Team Science approach to deliver fundamental new insights into the role of S-acylation in cell physiology. The successful candidate will join an ongoing research program