29 evolutionary-algorithm-"DIFFER" Postdoctoral positions at University of Oxford in United Kingdom
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We are currently seeking a Postdoctoral Research Associate to join our dynamic group at the Department of Biology. The Verd lab is interested in the diversity of biological form, how it is generated and how it evolves. In particular we focus on the evolution and evolvability of vertebral counts,...
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About the role Comparative genomics, and specifically our ability to identify which genes are related in different species, has revolutionized our understanding of the natural world. It enables us
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. Not only this, but the postholder will examine the biological and environmental factors that have led to elevated extinction risk among marine organisms over 465 million years of evolutionary history
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of Oxford. The post is funded by the National Institute for Health and Care Research (NIHR) and is fixed term for 24 months. The researcher will develop multi-sensor 3D reconstruction algorithms to fuse
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We invite applications for a full-time Postdoctoral Research Associate to join the new Data-Driven Algorithms for Data Acquisition (DataAcq) project. This is a timely project developing new
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and breeding grounds for whales in the past. Using phylogenetic comparative methods and the niche modelling results, the post holder will examine the evolutionary history of ecological niches broadly
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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characteristics directly. The main responsibilities of the post holder are to develop and edit molecular simulations of different biologically relevant membrane chemistries, for example membranes with different
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, delivering tested methods, and creating algorithms to expand MMFM capabilities across domains like cardiology, geo-intelligence, and language communication. The postholder will help lead a project work package
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aims to develop formal frameworks and algorithms for eliciting, aggregating, and analysing stakeholder preferences over risk and safety in AI systems. The Research Assistant will support the development