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and PhycoCosm. You will configure, execute, and troubleshoot customized annotation workflows, as well as analyze predicted genes and annotations. This position involves leveraging and advancing existing
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in clinical prediction modeling, UBC Faculty of Pharmaceutical Sciences SUMMARY Respiratory Evaluation Sciences Program (RESP ) is looking for a highly motivated post-doctoral research fellow in
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based on Machine Learning (ML) emulators have taken the weather predictions research by storm, as they run faster and use less energy than traditional approaches: numerical models based on physical
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for characterization of CT images. Machine and Deep learning: Develop and implement machine learning and deep learning algorithms to built detection and prediction models for CT images Performance Evaluation: Conduct
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. Computational drug discovery including molecular design, macrocycle conformations, docking, or predictive models for permeability & pharmacokinetics. About the Prize Fellowship The Bath Prize Fellowship offers
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position is part of an exciting project developing AI-based models to predict cognitive decline in patients with cognitive impairment. The role emphasises computational and AI methodologies to analyse
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the most active pre-main-sequence end of the cool star sequence, where the stellar environment is most extreme and the atmospheric consequences most dramatic, we build towards a unified predictive model
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AI/ML models for predicting materials properties using data-driven approaches, including the treatment of disordered inorganic materials. Develop codes as necessary to assist existing and new code
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fields. You will be an integral member of an inter-disciplinary Science of Learning research team in developing brain-based machine-learning predictive models for early identification of mathematical
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an advantage. The appointee will work with Prof. Wai Sze Chan on projects related to developing predictive models for health outcomes and digital behavioural interventions. Responsibilities include managing and