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Field
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-world interventions. A key part of this role will be performing systematic literature searches and meta-analyses of dose–response and exposure–response data to support model calibration and uncertainty
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searches and meta-analyses of dose–response and exposure–response data to support model calibration and uncertainty analysis. This role offers a rare opportunity to bridge public health and building science
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Clinical Research Fellow. You will work closely with the Epidemiology Large Data Review Group, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta
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closely with the Epidemiology Large Data Review Group, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta-analyses. The role also includes weekly
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clinical trials within the unit. You will also be able explore a wide range of research skills including human volunteer and clinical stroke studies, data analysis including systematic review and meta
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studies, data analysis including systematic review and meta-analysis, scientific writing (abstracts and academic papers) and preparing grant applications for future studies. You will experience clinical
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numerical algorithms or high-performance software for scientific computing? Do you have expertise in numerical linear algebra or experience with large-scale computing and want to broaden your skills? Would
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high throughput PDU equipped with VOC sensors, an algorithm, and a database. The PDU will enable rapid (Ultimately, the PDU is intended to be a cost-effective, user-friendly, adaptable, and efficient
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, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault diagnosis, and early fault prediction in electric vessels
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characterisation and heat-transfer measurements, and development of model-predictive control algorithms for dynamic charge–discharge operation. The postholder will support prototype fabrication, instrumentation