402 parallel-and-distributed-computing-"UNIS" Postdoctoral positions in United Kingdom
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The Hadronic Matter Group of the Physics Department is seeking a Postdoctoral Research Associate to support its STFC-funded Electron Ion Collider R&D programme, which aims to develop new
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Institute for Molecular and Computational Medicine (IMCM). You will test GSK assets and targets in established models of podocyte and mesangial cell pathology relevant to glomerular diseases. You will
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. Keith Channon – a 5 year renewable award that underpins the work of the group. You will lead a programme of research in the molecular mechanisms of cardiovascular disease, that may include a range of
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of support for health and wellbeing including discounted membership for our state of the art sport and gym facilities and access to a 24-7 Employee Assistance Programme. • On site nursery is available plus
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networks. A key part of this role is related to developing research independence; there are opportunities to receive training and development in key technical skills (e.g., experimental and computational
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associated computing code for modelling avian influenza outbreaks in Great Britain (GB). One position will focus on modelling the risk of virus invasions into GB in different locations and at different times
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About the Role This role will involve undertaking the evaluation of a digital social intervention in primary care in England. A summary of the programme grant is found here. The individual will be
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responsibility for implementing a deep learning work-package as part of a Cancer Research UK-funded programme, developing an image-recognition model to identify morphological features corresponding to clonal
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, which means: Developing a third-party funded project to be submitted to a competitive programme (e.g. Marie Curie, FWF individual project, FWF Esprit) Further developing your academic profile through
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responsibility for implementing a deep learning work-package as part of a Cancer Research UK-funded programme, developing an image-recognition model to identify morphological features corresponding to clonal