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Field
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: Bayesian Machine Learning – Led by Dr Thang Bui, this project focuses on sequential decision-making and bridging deep learning theory and practice. Applicants with expertise in probabilistic modelling
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in sequential decision-making approaches such as Markov Decision Processes, reinforcement learning, deep learning, or adaptive management. You have a strong track record of research publications and
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prediction models in Neurology using EEG data via Deep Learning (DL) techniques. In this prospective and longitudinal study, the outcome of interest is cognition over time. This position will be under
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of directly related experience. Knowledge / Skills / Abilities Knowledge Deep understanding of evidence-based teaching and learning practices across multiple modalities. Knowledge of faculty pedagogical
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international specialists. Within Cumulus, you will lead the development of “downscaling” methods for sub-seasonal (2-4 week) forecasts. Our priority will be to implement deep-learning based methods, to turn
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. Are you a Computer Scientist looking to apply your expertise to real-world weather forecasting challenges in Africa? Machine-learning has the potential to revolutionise weather prediction for and in Africa
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or testing deep learning models for genomics, exploring new techniques related to spatial simulations, or other topics discussed with the PI. Core job duties include: (1) Designing, implementing, and
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, Computer Science, Electronics Engineering or equivalent. Experience in one or more of the following areas: machine learning, deep learning, software-hardware co-design, computer system performance, design
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. Experience working with remote sensing or geospatial data is a requirement Strong programming skills applied to geospatial data, such as satellite data, is a requirement. Experience working with deep learning
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on the UKRI Future Leaders Fellowship (FLF) project titled: “Fluid Dynamics of Deep Interiors in the Outer Solar System.” This position will focus on developing innovative laboratory experiments of rotating