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and machine learning algorithms to analyse and interpret the acquired data. The successful candidate will work primarily with Dr Qimei Zhang in the Department of Engineering at the Nottingham Trent
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foundational methods for integrating single-cell and clinical transcriptomes; and train, fine-tune, and validate deep learning models using multi-omics and imaging data to predict clinical outcomes such as
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potential to design and conduct energetic, active, collaborative learning experience. U-M EEO Statement The University of Michigan is an Equal Opportunity Employer. We are committed to providing
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discrete choice modelling, behavioural data science or machine learning? Are you interested in developing the next generation of AI tools that accelerate scientific discovery while maintaining behavioural
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, that can be realised using cloud compute infrastructure and other novel deployment architectures. Given our team's existing research skillset in novel machine learning approaches, we are recruiting a
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Applications are invited for a Research Fellow position within the Astronautics Group, in the Department of Aeronautics and Astronautics. The post will work on a collaborative project between the
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group in Statistics and Data Science at the Department of Mathematics at University of Oslo, in close collaboration with the machine learning group at the Department of Informatics. About Integreat See
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skills, including statistical analysis using R, Python, SPSS, Stata, or equivalent software. • Experience with computational social science methods, including NLP, machine learning, LLMs, social media
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collaboration and meetings. The role These are full-time, five-year appointments at Grade 7 (£46,049–£56,535 per year), expected to start in April 2027. Your research will focus primarily on underserved boys and
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, clinical and sensor data processing, quantitative image analysis and machine learning. They will establish and maintain robust research databases and FAIR-compliant data management processes for large, multi