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of turbidity currents in action in the deep-sea, and to develop novel technologies for monitoring these seabed sediment flows. Turbidity currents form the deepest canyons, longest channels and largest sediment
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on understanding the spread and control of human infectious diseases using modelling and pathogen genomics. This is a short-term opportunity to apply machine learning methods to two key projects. First, you will
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Full time: 25 Hours per week Fixed term: 12 months We are looking for a candidate to join the University of Edinburgh to conduct research on Machine Learning, Reinforcement Learning, or LLM
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technologies for deep molecular insights. Additionally, you will present your findings at national and international conferences, mentor junior researchers in the lab, and contribute to high-impact publications
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materials. Practical experience in fabricating 2D materials and a deep understanding of their structure-property relationships are highly desirable. You should also have expertise in advanced characterisation
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discipline. The candidates will have expertise in computational imaging, with: (i) an algorithmic focus, with particular interest in methods at the interface of deep learning and optimisation theory, and/or
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We are seeking a Postdoctoral Researcher in Human-AI interaction to join a research group focused on studying learning and decision-making in humans and machine learning systems led by Prof Chris
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2025. We seek to recruit a Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based
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are looking for an Associate Research Fellow to join STARS and HSMA until 31st March 2026 in the first instance. We need you to have a high aptitude and passion for learning how to use new technology, and
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to learn new techniques and apply them in an interdisciplinary research environment. Application Process Applications for this vacancy are to be made online and you will be required to upload a supporting