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This post is fixed-term for 2.5 years in the first instance. We invite applications for a full-time Postdoctoral Research Associate to join the new Data-Driven Algorithms for Data Acquisition (DataAcq) project. This is a timely project developing new methodology, theory, and applications across...
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members of the research team including research assistants and PhD students. This specific project and the wider programme of work are both developing and applying innovative complexity economics and policy
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, computational Biochemistry, biophysics, chemistry and should have experience of setting up, running and analysing molecular dynamics simulations. You should have experience of simulations of large multicomponent
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multi-disciplinary team of biological, computational and mathematical researchers by curating and processing raw ‘omic and spatial biology data and performing hypothesis led and hypothesis generating
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. The Administration Portfolio currently comprises a collection of major technology projects and programme investments aligned with the University’s Professional Services strategic aims and priorities. Of particular
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We are looking for an enthusiastic colleague to join an equally enthusiastic international team. The role is based in an interdisciplinary group across developmental psychology and cognitive neuroscience to provide proof-of-concept demonstrations that virtual reality can be used to study...
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Computational Statistics and Machine Learning (OxCSML) group, which is a vibrant research group working at the cutting edge of Statistical Machine Learning. OxCSML is part of the Department of Statistics, as
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and implement new quantum electrodynamic corrections in the computational framework of the GRASP code. The successful candidate will also be expected to assess the accuracy of the modelling by
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computer code as required. You will devise novel approaches for data analysis, develop informatics structures to manage large datasets, and contribute to code and data sharing and deposition via appropriate
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genomics/transcriptomics, computational biology and machine learning. The overarching aim of the project is to develop strategies to treat patients with rare genetic disorders at scale. Duties will include