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We are seeking a Research Fellow to perform research on deployment of machine-learned models for health analytics on distributed IoT/edge/cloud systems using transprecise computing and contribute
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(Research Engineer) Bachelor/Master degree in Computer Science or a related field Proven ability to conduct independent research with a relevant publication record. Outstanding data analytics, mathematical
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biological science subject High level analytical capability Ability to communicate complex information clearly Full working knowledge of informatic environments including R Extensive experience and fluency in analysis
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channels them back into new production processes, where possible. The case study region proposed for this is the West Midlands. The position requires an individual with a high-level of analytical capability
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analytical tools including FTIR and Raman spectroscopy. You will help design and implement experimental protocols, analyse complex datasets using AI tools, and contribute to the preparation of funding
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subject. Experience Specific, relevant research experience working on a Project that relates to Health and and Social Care services High level of analytical capability Prior experience of linking with key
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experiments to test and refine DNA extraction and library construction workflows. iii. Operate and interpret results from analytical instruments, with particular emphasis on using the Agilent Bioanalyzer
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research or industry experience will also be considered. Good statistical and analytical skills are necessary, ideally with the ability to work in R and experience with bioinformatic tools/software. Coding
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Machine learning/AI based classifiers Proficiency in coding using R and Python and other similar languages High level analytical capability Ability to communicate complex information clearly Informal
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, or a related field with substantial expertise in data science/AI methods Strong publication record in relevant areas Demonstrated ability to work across disciplinary boundaries Strong analytical skills