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Field
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parallel programming; and tracking the use of HPC resources and the resulting research outcomes and publications. verall, the position provides leadership and guidance on facilitation services and reports
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. In addition to the NIHR funded post available, locally funded posts may also be awarded in parallel, subject to funding and assessment against the stated criteria for the role. Applicants should be
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Novel routes for in-situ measurements during the manufacture of thin flexible electronic films. School of Chemical, Materials and Biological Engineering PhD Research Project Self Funded Prof
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strategic partnerships with industry, government, and community, and in positioning ECU as a national and global leader in research and industry engagement. You will be a distinguished academic with a PhD or
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. In addition to the NIHR funded post available, locally funded posts may also be awarded in parallel, subject to funding and assessment against the stated criteria for the role. Applicants should be
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or life sciences, computer science or related field; PhD preferred Two (2) years to three years of experience in developing parallel computing applications, libraries or software tools working with
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optimize large-scale distributed training frameworks (e.g., data parallelism, tensor parallelism, pipeline parallelism). Develop high-performance inference engines, improving latency, throughput, and memory
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will be expected to participate in co-supervision of project students, oversee smooth and safe operation of the lab. Applicants should hold a PhD in synthetic organic chemistry or physical organic
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Identify new applications for Machine Learning in science, engineering, and technology Develop, implement and refine ML techniques Implement parallel ML training on the High Performance Computers Engage in
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this changes with age and disease. The successful candidate will contribute to the development and deployment of robust, scalable software solutions that drive our research forward. Your Profile PhD and training