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involvement with the research project, supporting research volunteers and contributing to public engagement activities. You will process and analyse data using both quantitative and qualitative methodology and
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potential to uncover new mechanisms governing the fundamental biological process of gene expression. The planned research, funded by an HFSP Research Grant, is a close collaboration between the Wrobel Lab
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of social and sports clubs Application Process If you would like to discuss this role please contact Mr Alex Gordon-Weeks at alex.gordon-weeks@nds.ox.ac.uk Applications for this vacancy are to be made
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. Experience with one of the more advanced tissue culture techniques (either organoids, spheroids or primary tissue culture) is desirable but not essential. Application Process The closing date for applications
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the Department of Chemistry, Chemistry Research Laboratory, 12 Mansfield Road, Oxford, OX1 3TA and is available as soon as possible. Application Process Applications for this vacancy are to be made online and you
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. Application Process Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your application. In your supporting statement (<3 pages
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Gardens and University colleges, and discounts at University museums. See https://hr.admin.ox.ac.uk/staff-benefits Application Process Applications for this vacancy are to be made online. You will be
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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at the University of Oxford. Although near-Ambient Pressure XPS has enabled operando measurements of surface chemical processes in recent years, it is limited to low pressures (~ mbar) and complex, dedicated
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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