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will deliver projects that leverage large-scale electronic health record data and rich cytometry data derived from full blood count analysers to develop and refine machine learning models to improved
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need any assistance in applying or if you need the information in a different format. In your message to resourcing@rca.ac.uk include: the web address (URL) of the content your email address and name
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for publication About you You will: be able to present information on research progress and outcomes, communicate complex information, orally, in writing and electronically and prepare proposals and applications
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the risks. You will have: a PhD in one of the relevant STEM disciplines, such as mathematics, statistics, computer sciences, theoretical food, ecological or physical sciences, etc. skills in mathematical
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have not been requested, we will not be able to consider these as part of your application. Please include details of your referees, including email address and phone number, one of which must be your
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networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity rules which enable effective learning in large and deep networks and is consistent with
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these bioinformatic experiments. Access to a high-performance computer will be provided. The candidate must be capable of generating complex molecular compound models in silico and using current molecular dynamic
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(PDRA) with experience of statistical analysis and/or modelling, computer programming and preferably some meteorology/climate background, to join our growing team. You will work directly on the NERC
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, electron and neutron scattering techniques, spectroscopy, and crystallography. You will be able to conduct high quality, original research and have a strong record of journal publication or other output
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) together with relevant experience; Informal enquiries may be addressed to Prof Antonio Elia Forte (email: @eng.ox.ac.uk) For more information about working at the Department, see www.eng.ox.ac.uk/about/work