271 parallel-and-distributed-computing-phd positions at University of Manchester in Uk
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Type of award Scholarship Managing department Faculty of Science and Engineering Value The four-year funded A*STAR PhD programme at Manchester enables postgraduate researchers in science and
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will be tenable on a fixed term basis of 24 months. The post-doctoral research associate will establish novel in vitro assays to quantify in vitro siRNA uptake, intracellular distribution, and effect in
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fees for the period of the relevant programme as outlined in the offer letter (usually three years). CSC will provide living allowances as prescribed by the Chinese Government, and will cover the round
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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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/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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The Carpentries. They will have a BSc or a PhD in a course with a significant computing aspect, or equivalent experience. The post is being recruited at Grade 6 (where the post holder will help and participate
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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
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empower students with a tailored learning experience, combining flexibility and cutting-edge digital tools to meet their goals and aspirations. The Department of Computer Science is leading the way in
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patient cohorts, geometric deep learning, computational anatomy, cardiovascular modelling, multimodal datasets. What you’ll need Applicants should have a PhD (or nearing completion) in computational imaging
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behavioural, physiological, and environmental acoustic variables. This post would suit someone with a PhD in biomedical engineering, data science, machine learning, experimental psychology, audiology, cognitive