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Knowledge of machine learning or multi-omics data integration would be highly desirable Essential Application/Interview Deep interest in musculoskeletal research and translational science Essential
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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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holidays) Free meals on shift A 6% employer contributory pension scheme Free car parking (if available) Life assurance x3 salary A health cash back scheme Cycle to work scheme Wellbeing programme including
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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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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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higher education for our students to gain valuable practice learning experience onsite, to support local and regional NHS partners, and provide a data-rich research environment for our students, staff and
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be called upon to provide instruction for safe operation of conventional lathes and milling machines in our student workshop. You will also provide technical advice, instruction and support to academic
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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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national and international research networks. We are looking for someone with a PhD (or near completion) in a relevant field such as machine learning, biomedical engineering, or neuroscience, with expertise