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open-ended position. Applicants are invited from any area of applied statistics, including statistical or actuarial data science. Those working in actuarial science, Bayesian statistics, statistical
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-traditional, e.g., event data) and network structures (for sensor networks). In this project, we will investigate Bayesian deep learning approaches to training models under uncertainty for several sensing
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on the training strategies. In this project, we will investigate Bayesian methods to train deterministic SNNs (with deterministic activation functions) or probabilistic SNNs. Bayesian deep learning methods have
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techniques. Identify learning needs of students and define appropriate learning objectives. Ensure that content, methods of delivery and learning materials will meet the defined learning objectives. Planning
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define appropriate learning objectives. Ensure that content, methods of delivery and learning materials will meet the defined learning objectives. Planning, and authoring (or revising) new course material
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needs of students and define appropriate learning objectives. Ensure that content, methods of delivery and learning materials will meet the defined learning objectives. Planning, and authoring
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unites 8 universities and over 67 partners to address transport decarbonisation. TransiT will create a Federated Transport System of Systems (FTSoS), integrating digital twins across road, rail, air, and
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-Watt have a long–standing track record in researching ground-breaking single photon detection and applications in quantum communications and single-photon imaging. With single-photon avalanche diode
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strengthen its actuarial science and statistics group, to support its ambitions to enhance and expand its expertise in these areas. Our staff work in various fields, such Bayesian statistics, applied
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Sport, contributing to the University’s mission and business objectives. Oriam delivers a range of financial and operational services, including: Routine financial transaction processing in hire