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an outstanding international reputation and a community of over 500 staff and more than 300 PhD students engaged in cutting-edge research and collaboration. Further information can be found on our
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synthesised and analysed to research and address slavery in war? By working across the Centre’s datasets and using data analytics and machine learning, this Centre strand will build a blended data resource that
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. This project will develop responsive manufacturing technology that will have sufficient flexibility to overcome such problems by utilizing intelligent machine learning to control the printing process in real
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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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. You supervise students. This is part of your personality: Completed PhD in psychology, behavioral science, human-computer interaction, public health, or a related field. Quantitative research skills
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. The Opportunity: The successful candidate will focus on developing advanced machine learning and mathematical optimisation frameworks for energy system modelling, particularly under the growing presence of offshore
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, Nutritional Sciences and Women's Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research
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and enabling commercial deployment. The work will integrate model based design of experiments, machine learning, hybrid and kinetic modelling (digital twin development), process design, simulation and
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relevant professional certifications would be advantageous. 10+ years of working experience, including at least 5 in Artificial Intelligence, Machine Learning, Analytics, or a related area.SIT Internal
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Do you have a strong interest in using artificial intelligence and machine learning techniques in chemical engineering to create a safer and more sustainable work environment in the oil, gas