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development of next-generation computational tools for simulating particle-laden two-phase flows by integrating advanced Artificial Intelligence (AI) techniques with traditional computational fluid dynamics
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analysis, including GWAS, Genomic SEM, EWAS, bioannotation, and/or polygenic scoring analyses Experience with R and Bash programming in high-performance computing environments Familiarity with study-related
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-term appointment through to 30 June 2027 This position will be directly involved in the delivery of the research projects funded by the NCYSUR through the Australian Government, Drug and Alcohol Program
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to the development of high-performance, multimodal sensor systems with strong application potential in digital healthcare, robotics, and smart environments. The successful candidate will be an integral part of a
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oncology grouping sees close to 550 new cases of these cancers a year. There is a large active clinical trials programme that spans phase 1 to phase 3. These patients have a poor prognosis, and this clinic
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providing specialist support for external engagement and development Our Exeter Academic initiative supporting high performing academics to achieve their potential and develop their career A multitude of
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interpretation and strain performance analysis. Automation and Computational Skills: Experience in implementing automation protocols for microbial strain engineering; Working knowledge of statistical analysis
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School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic
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: Research: Conduct high-quality research in line with discipline standards, publish in reputable outlets, pursue competitive funding, and contribute to knowledge translation and commercialisation. Develop a
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-based high performance computing facilities desirable. A demonstrable track record in excellence in research evidenced by peer-reviewed journal articles published in high quality journals relative