506 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" Fellowship positions in United Kingdom
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- Citrin Foundation (Registration Number: 15940318) 2 Allen Street, London-United Kingdom, W8 6BH
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- University of York;
- York St John University;
- bermet.ishenbekova@ucentralasia.org
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Field
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approaches. Machine Learning in Geotechnical Engineering: Utilising data-driven approaches to model and predict soil-structure interactions or other complex geotechnical problems. Reliability-Based
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unit and individual and collaborative research in the area of Power Electronic, Machine and Control. The role holder will be expected to conduct and lead high-caliber, impactful research at the forefront
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, b) computational modelling, or c) machine learning. This is a complex project managing longitudinal data from a range of sources. Therefore, thoroughness and attention to detail while managing
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statistical machine learning techniques to mine self-reports and sensor data to gain new insights towards assessment and longitudinal monitoring of bipolar disorder; b) work on sleep datasets exploring
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collocates Hawkes (formerly CMIC), UCL’s AI Centre (AIC), and UCL’s Advanced Research Computing Centre (ARC) creating a vibrant hub of data-science researchers with interests from basic machine learning and AI
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holds a Bronze Athena SWAN Award in recognition of our commitment to advancing Gender equality in higher education. You can read more about what this means at https://www.advance-he.ac.uk/equality
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The University of Manchester has been celebrating 200 years of achievement in research-driven learning, development and innovation: this has included investing in our prestigious Bicentenary PhD
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vulnerabilities. This role sits at the intersection of AI for security, AI security, and computer architecture, contributing to a first- of-its-kind security framework for next-generation Hw/Sw computing systems
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About the Role An exciting opportunity has arisen for a talented Researcher to join the world-renowned Power Electronics, Machines and Control Institute (PEMC) at the University of Nottingham and
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About the Role An exciting opportunity has arisen for a talented Researcher to join the world-renowned Power Electronics, Machines and Control Institute (PEMC) at the University of Nottingham and