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for electric propulsion. This involves creating and deploying simulation frameworks for ongoing projects targeting the understanding of various devices and phenomena. Innovate in Uncertainty Quantification and
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identify therapeutic targets. These efforts will generate large-scale, rich perturbation datasets, requiring the development of sophisticated approaches and methods incorporating facets such as machine
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treatment of heart failure, especially HFpEF. Goals: Identify therapeutic targets, develop biomarkers, and evaluate novel therapies. Inflammatory Drivers of Cardio- and Cerebrovascular Disease (IDCCD) Focus
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education sector. See the CSU Employee Benefits Summary for details about the CSU’s excellent benefits package. Target Start Date: August 2026 Application Deadline: October 15, 2025 (Applications accepted
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/malariasimulation ) to link geospatial predictions of insecticide resistance to malaria disease incidence. Resulting models and maps will identify areas where targeted deployment of novel insecticidal interventions
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multiple locations across several targeted intervals. These will form the basis for empirical calibrations that we will use to predict the hypothetical natural baseline of Earth’s climate, free from
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and reduction Development and application of big data analytics for large X-ray data sets Application of Bayesian methods to X-ray data Combinatorial analysis of various data from complementary
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campaigns including programmed screening or Bayesian optimisation. You will characterise the resulting materials, in terms of their properties and performance for an intended application. Sustainability will
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, kernel machines, decision trees and forests, neural networks, boosting and model aggregation, Bayesian inference and model selection, and variational inference. Practical and theoretical understanding
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level techniques will be used, including recovery surgical techniques optogenetics, chemogenetics and targeted silencing behavioural testing general histological techniques and immunocytochemistry