55 evolutionary-algorithms-"RMIT-UNIVERSITY" Postdoctoral research jobs in United Kingdom
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Applications are invited for a Postdoctoral Research Associate in Evolutionary Developmental Biology with a particular emphasis on the genetic basis of differences in organ size Drosophila
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Postdoctoral Research Associate in Evolutionary Developmental Biology ( Job Number: 25001024) Department of Biosciences Grade 7: - £38,784 - £46,049 per annum Fixed Term - Full Time Contracted Hours
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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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achieved by combining state-of-the-art algorithms from multiple domains such as evolutionary algorithms, reinforcement learning, and control theory. The main responsibility of the successful applicant will
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. The BASP laboratory is developing cutting-edge research on all aspects of computational imaging, from theory and algorithms, to applications in astronomy and medicine. Dr Wiaux is a Professor in the School
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needs, such as assisting the team with evaluating evolutionary algorithms for exploring creative new hand designs, or reinforcement learning for policy optimisation, all within a huge GPU-based simulation
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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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algorithmic graph theory. The purpose of the role is to contribute to the project "Algorithmic meta-classifications for graph containment", working with Professor Matthew Johnson, Dr Barnaby Martin and
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The Role Applications are invited for a Postdoctoral Research Associate in Computer Science with a particular emphasis on structural and algorithmic graph theory. The purpose of the role is to
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analysed by bespoke machine-learning driven algorithms, combined with physical models, to de-noise images, identify features and correlate properties, giving critical insights into power loss pathways