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. The project will focus on statistical methods for living network meta-analyses – dynamic networks of interventions that are continuously updated as new evidence emerges. This PhD position offers a unique
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) Advanced statistical evaluations (in particular machine learning-based analyses and research syntheses such as scoping/systematic reviews, meta-analyses and meta-science approaches) Leading functions in data
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are looking for someone with a strong interest in developing novel, unconventional computing systems to tackle complex machine learning tasks at low energy. You should hold a PhD, or be close to submitting, in
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, dplyr etc.,) and version control system (git, bitbucket etc.). Experience in use of AI and Machine Learning techniques using Python (sklearn, statsmodels, pandas, numpy) is desirable. Solid and proven
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Intelligence (AI) and development of Machine Learning (ML) models and Federated Learning. 11. Engage in continuing professional development activities as appropriate. 12. Undertake any other duties of equivalent
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development of Machine Learning (ML) models and Digital Twins. 11. Engage in continuing professional development activities as appropriate. 12. Undertake any other duties of equivalent standing as assigned by
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languages (C, C++, C#, Python, Matlab), experience with machine learning in robotics or computer vision, a desire to advance resilient, introspective processing architectures in robotics, a desire to work
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prediction model; specifically, those models that utilize network analysis and machine learning techniques. The aim of this project is to attempt to evaluate the relative strengths of this new strand
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the strengths of Kahlert School and the SCI Institute. Their work will bridge core computing disciplines—such as computer vision, large-scale AI systems, and machine learning—with cutting-edge, high-impact
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The Human-Computer Interaction (HCI) Group at Birmingham City University (based within the College of Computing) conducts world-leading research in areas such as accessibility and assistive technology