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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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to students aged 16 and over, preparing them for meaningful careers in sectors such as policing, fire and rescue, the armed forces, and emergency services. We work collaboratively to create an engaging
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discipline. Strong skills in data integration, statistical modelling, and/or machine learning. Experience working with health, genomic, or environmental datasets. Ability to work collaboratively in
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that give students access to emerging technologies like creative coding, machine learning, VR/AR, and projection mapping. In this role, you’ll help students bring their ideas to life, guiding them through
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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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: DevOps and cloud architecture; Big Data and Data Engineering; AI applications and Advanced Machine Learning Commitment to delivering high-quality teaching and supporting an outstanding student experience
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to scientific questions and must be able to rapidly acquire skills in new programming languages, libraries and technologies. Any prior experience working with frontend/backend web development, machine learning
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About the role We are looking for a Research Scientist (Medical) to join our team delivering the EMBRACE study, an innovative research project led by Professor Josip Car. EMBRACE is a visionary
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will play a leading role in the analysis of large and complex genetic and electronic health records datasets with a range of Statistical and Machine Learning approaches, whilst leading a broad range of
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research. It will leave a lasting legacy by enabling the creation of a new inter-disciplinary permanent learned society. CRANE will develop a rigorous community-led methodology and use it to identify