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The Role Join our growing team to help re-architect and re-implement the University’s research virtual machine (RVM) and high-throughput computing (HTC) platforms. Beyond provisioning and
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for candidates to have the following skills and experience: Essential criteria PhD at or near completion in at least one of the following subjects: Computer Science, Machine Learning, Biomedical Engineering
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of innovative particle identification and noise filtering algorithms based on Machine Learning techniques to improve the detection of muons in a variety of particle detector systems. 3. Lead the development
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(EHR) data built by a multidisciplinary team of software developers, machine learning engineers, clinical researchers and health informaticians. The CogStack team is at the forefront of building
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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
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confirmed Reference: 0482-25 We are seeking to recruit a Research Associate or Senior Research Associate, to conduct cutting edge research covering digital twins, AI/machine learning data analytics
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will have experience with working in a machining environment, including turning and milling and a have strong ability to teach modules relating to other areas of engineering. If you are not a qualified
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instance, Machine Learning and AI, Big Data Analytics, Statistical Modeling, Data Visualization, Data Security, Cloud Computing, Applied Data Science in Healthcare and Environment, Data Engineering
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part of Imperial’s Learning and Teaching Strategy and the Imperial Class of 2030 , we are appointing two Senior Planning and Insight Analysts within the Planning and Insight Division . Alongside
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: 36 days holiday, pro rata for part time (inclusive of Christmas closure and bank holidays) Free meals on shift A 6% employer contributory pension scheme Free car parking (if available) Life assurance