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on the Vector Observatory project (https://www.malariagen.net/vobs/ ). Malaria continues to pose a major global health challenge, and mosquito vectors are central to transmission. The project addresses three
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their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists of three full professors, one associate professor, 6 postdocs and about 15 PhD and 7 master
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the guidance of Professor Emmanuil Georgoulis. Relevant skills are a PhD (or near completion of a PhD) in Numerical Analysis, or Scientific Computing, or related field. The position requires good programming
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machine learning methods to model changes in the brain over the lifespan, including brain structure and function, and how those changes relate to environment and genomics. What We Offer As an employer, we
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genome encodes gene expression levels. You will undertake large scale data generation from primary human samples using a method recently pioneered by the host laboratory (Hua et al., Nature 2021 https
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in theory of probability and statistics, machine learning, or formal methods. The post is available from 2 March 2026 until 1 March 2028. If you are still awaiting your PhD to be awarded you will be
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highly productive and ambitious member of the QUB and Rolls-Royce collaborative research team, investigating and using computational simulation methods to support structural design of next generation
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The Department of Chemical Engineering and Biotechnology is seeking a Post-Doctoral Research Associate (candidates who are about to submit their PhD thesis may apply) to step into the ongoing
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machine learning methods to model changes in the brain over the lifespan, including brain structure and function, and how those changes relate to environment and genomics. About the Role The post is funded
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study the methodology of complex multmethod and mixed methods research in educational settings. Your active participation inresearch, teaching and administration comprises: Mixed methods researchs