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experience in pharmacology teaching, alongside a strong commitment to student learning and educational excellence. At Level A (Associate Lecturer), the role delivers classes, assesses student learning and
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Many machine learning (ML) approaches have been applied to biomedical data but without substantial applications due to the poor interpretability of models. Although ML approaches have shown
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This Masters or PhD project aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain ML predictions and
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to use informed judgement to prioritise and meet competing deadlines. Effective computer and data entry skills using the Microsoft Office suite and other specialist student and learning related software
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of state-of-the-art machine learning methods (for example, explaining the latest foundation models). We additionally are keen for the successful candidate to have a flair for entrepreneurship and innovation
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across the School's Learning & Teaching portfolio while supporting continuous improvement initiatives and ensuring high-quality administrative services. The role reports to the School Manager, with a
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Machine learning, dynamical systems theory, control theory, signal processing, network theory, neuroscience are all relevant and a student should have strong knowledge in at least one of these and a
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reinforcement learning. In International conference on machine learning (pp. 2107-2128). PMLR. - Péron, M., Becker, K., Bartlett, P., & Chades, I. (2017, February). Fast-tracking stationary MOMDPs for adaptive
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driving a small truck that can be operated on a car licence. A forklift licence is desirable. Experience using Microsoft Office, warehouse, inventory or transport management systems, or the ability to learn
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Full time, fixed term for 12 months, with potential for extension Unique opportunity for a talented educator to contribute to the university’s Teaching and Learning strategic plan Academic Level B