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to address more novel problems. Keywords include: automatic experimental design, Bayesian inference, human-in-the-loop learning, machine teaching, privacy-preserving learning, reinforcement learning, inverse
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and conducting climate model simulations and analysing large volumes of ESM simulations. Knowledge of reduced-order modelling and Bayesian inference is highly valued, and experience with climate
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advanced causal inference methods to analyse longitudinal data on the mediating pathways through which excess heat influences mental health for a Wellcome funded research study called ‘TOLAKARI
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National Taiwan University, Center for Condensed Matter Sciences Position ID: NTU-Center for Condensed Matter Sciences-TTRF [#30257] Position Title: Position Type: Tenured/Tenure-track faculty
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completion) in computer science, electrical engineering, AI, machine learning, remote sensing, robotics, or a closely related discipline. Demonstrated expertise and research track record in deep learning and
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/ Statistics , Applied Mathematics , Artificial Intelligence , Bayesian Statistics , Big Data , Scientific Machine Learning , Social Sciences , Biomedical Informatics , Causal Inference , Computational Social
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contribute to groundbreaking projects in OP-MEG and Bayesian computations. This role offers you the chance to collaborate with leading researchers, mentor students, and shape the future of cognitive
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in OP-MEG and Bayesian computations. This role offers you the chance to collaborate with leading researchers, mentor students, and shape the future of cognitive neuroscience through innovative research
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, Bayesian inference and interrogation theory. The post may involve travel to Iceland and Italy in support of your work and attendance at international conferences, such as the European Geothermal Congress
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learning, Bayesian optimization, and real-time sensing with laboratory instrumentation, closed-loop systems can accelerate discovery and improve experimental efficiency. However, building robust and