114 parallel-processing-bioinformatics-"Multiple" Postdoctoral positions at University of Oxford
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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely
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of social groups and sports clubs for those looking for more than just a great place to work. Application Process Informal enquiries may be addressed to Nadine Gilhome (email: nadine.gilhome@eng.ox.ac.uk
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reasoning processes to enhance transparency and accountability; (5) assess privacy risks of watermarking; and (6) conduct privacy preservation assessments, including training data extraction and membership
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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Atmospheric Dynamics group in AOPP which looks at the role of dynamical processes globally in weather and climate variability, predictability and change. The role will involve detailed analysis and dynamical
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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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it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid crystal resins. Additionally, you will develop
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Process You will be required to upload a covering letter with a supporting statement, CV and the details of two referees as part of your online application. In your supporting statement, please explain how
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the attached Job Description for a full specification of the selection criteria. Application Process You will be required to upload a covering letter/supporting statement, CV and the details of two
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plasma-modulated plasma accelerators (P-MoPAs). The successful candidates will undertake research into the underlying physics and operation of plasma-modulated plasma accelerators (P-MoPAs), advanced