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network management. You will have a good first degree in physics, electrical and electronic engineering, computer engineering/science, or another relevant subject, and a PhD or equivalent experience in
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explainable multi-modal deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The successful candidate will need to be eligible for UK security clearance in principle
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(SITraN). Our mission is to uncover the genetic drivers of Amyotrophic Lateral Sclerosis (ALS) by integrating cutting-edge technologies, including single-cell epigenetic profiling and machine learning, with
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work packages will create lasting impact. Work Package 1 develops new bilingual professional learning modules (blended asynchronous and synchronous formats) aligned with Curriculum for Wales for primary
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research and support the development and learning of the scientists & engineers of tomorrow? If you are, we would love to hear from you. You will provide essential specialist technical support to researchers
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chemistry, from the use of advanced electronic structure methods to the development of dynamical approaches to study photochemical reactions, also including machine learning. The group is part of the Cluster
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the requisite experience. Desirable: B1 An awarded (or recently submitted or near completion) PhD in subject specialism or equivalent. B2 Experience with high dimensional statistical, machine learning and deep
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, computer simulations and machine-learning analyses. The University of Nottingham offers a wide range of employee benefits. More information can be found at: https://www.nottingham.ac.uk/hr/your-benefits/a-z
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the conceptual foundations for modern AI, and where the world's first stored-programme computer ran in 1948. Data science and AI are now embedded as a core strategic priority for the university, making this a
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language processing, machine learning and skills taxonomies, you will help generate meaningful insights into current and future engineering skills needs. Your work will support industry, policymakers, educators and