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computer applications, online resources, and other technologies for the classroom. Demonstrated proficiency using an online learning management system such as Blackboard to develop and build course content
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provided to the PhD student to support the development, training, and implementation of machine learning models. Travel and participation costs for project meetings and international scientific conferences
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uncertainty-aware machine learning approaches, to assess whether prediction accuracy can be improved by focussing on particular subsets of patients. We will also investigate different ways to define
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experience of using email and finance/stock computer software is an advantage. Further information This role is offered on a full-time, term-time basis (36.5 hours per week) and is a permanent position. For an
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discovery through public and Novartis-internal datasets. We are looking for candidates with A PhD in machine learning, computer science, computational biology, or a closely related field (completed or near
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with hallmark PD pathology, using machine-learning approaches to quantify neuroinflammatory and protein pathologies and spatial transcriptomics to characterise their molecular and spatial relationships
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hands-on experience to turn your research into practical impact. Profile You are expected to have completed or will complete a Master’s degree in computer science, machine learning, statistics, physics
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conduct world-class applied research. We change and make a difference. Do you want to become one of us? The Department of Computer Science (DIDA) is one of two departments in the Faculty of Computing. It
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will do Interpretable machine learning is a growing research area, with important applications in the biological sciences, such as understanding how different genes regulate each other within biological
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. As a PhD researcher, you will unravel the atomic-scale mechanisms of hydrogen embrittlement in compositionally complex recycled steels, using density functional theory and machine-learned interatomic