265 parallel-and-distributed-computing-phd-"Multiple" positions at University of Manchester
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will play a major role in supporting the administration within the portfolio, working closely with Prof Frangi and the Programme Manager and will involve working proactively with multiple teams in
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on the online programme application and supporting documents. Application form Additional documentation Your full online application must include; A 1,500 word PhD research proposal. Times New Roman, Font
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Environment (SDE). Data extractions from the SDEs involved in this study will occur at multiple time points during the project. The postholder will work closely with Dr Merriel and the lead statistician in
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. This role will support the Edge Compute and Satellite Storage Service, within the Research Platforms Team, within RIT. It is primary focusing on supporting the National X-Ray Computed Tomography (NXCT
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This post provides an exciting opportunity to contribute to a Cancer Research UK funded programme of research to improve access to lung cancer early detection for individuals with intellectual
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multiple tools to ensure OLAs, SLAs and KPIs are met. This is an on-site position, typically following standard office hours, with the expectation that the successful candidate will occasionally provide
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/SIMULINK. The research is part of a project to investigate future network performance funded by National Grid Electricity Transmission through the Network Innovation Allowance. You should have a PhD or
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priorities. Demonstrates ability to integrate organisational strengths and development areas into people plans in response to internal and external influencers. Analytical Thinking - Uses multiple sources
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team across multiple centres. The manager will be part of the International Alliance for Cancer Early Detection a £50m global partnership between CRUK, Dana Farber Cancer Institute, The University
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. These studies will include detailed characterisation of molecular weight distributions, degree of crosslinking, thermal-mechanical modelling and microstructural features that influence electrical performance