354 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation"-"Simons-Foundation" positions at University of Sheffield
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landscapes and provide real-time visibility across product areas. Essential Application/ Interview Strong experience identifying, managing, and mitigating delivery risks and issues across multiple workstreams
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and/or machine learning. A strong analytical and quantitative skillset and experience of programming languages (e.g. R, Python) are also essential. This post will be supervised by Dr Christopher Cooney
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. (2020) Epithelial–mesenchymal plasticity: emerging parallels between tissue morphogenesis and cancer metastasis. Philosophical Transactions of the Royal Society B: Biological Sciences, Vol. 375, No. 1809
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complex, involving multiple partners, working on innovative technology to provide practical solutions to industrial problems. As a member of the multi-functional project team, you will contribute
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datasets, and utilising internal and external data sources in reporting and ability to quickly assimilate and analyse complex data from multiple sources. Essential Application/Task Experience of project
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collaboration experience. Main duties and responsibilities Develop findable, accessible, interoperable, and reusable (FAIR) AI / machine learning software, tools, and workflows to support multiple exploratory
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healthcare sustainability and the use of polymeric bio-based materials. Desirable Application/Interview Ability to manage, organise and analyse datasets from multiple sources (e.g., material testing results
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organ, on our labs own dedicated multiphoton confocal. In parallel, genomics data existing within the lab will be mined to identify candidate genes. Combining live and fixed confocal analysis, as
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- knowledge of first aid, including procedures for dealing with spinal injuries, and the use of rescue equipment such as defibrillator equipment. Experience of working across multiple sites in a sport or
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parallel processing, FPGA coding and analysis, along with Machine Learning and AI based image analysis. The final aim of the project will be to generate in-situ / live film profile data to coating line