134 algorithm-development "https:" "Simons Foundation" Postdoctoral positions at University of Oxford
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developing the theoretical and algorithmic foundations of compositional world models. A key application focus of the grant lies in rapid and safe real-world skill acquisition in application domains such as
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for a project on histone variants in hyperthermophile archaea. The Warnecke lab study the evolution of chromatin from a comparative perspective, with a particular focus on less-studied organisms such as
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, fixed-term position, funded by a Simons Foundation research grant. The successful candidate will be expected to take up this post as soon as possible, with a latest start date of1st October 2026. We
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As part of a collaborative project, the PDRA will carry out world-leading research on the development of the lithium-air battery. The Li-air battery represents a step-change in battery technology
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We are seeking a talented and motivated postdoctoral researcher to join our Somatic Evolution Research group led by Dr Verena Körber . You will contribute in the research of somatic evolution during
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of Oxford. The post is funded by United Kingdom Research and Innovation (UKRI) and is for 24 months. The researcher will develop 3D mapping and reconstruction algorithms with relevance to mobile robotics
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We invite applications for a Postdoctoral Researcher to join the research group of Professor Christopher Yau ( http://cwcyau.github.io ) at the Big Data Institute, University of Oxford. This post
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challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Department of Psychiatry is based on the Warneford Hospital site in Oxford – a friendly, welcoming place of work
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as soon as possible but must be available to start by 1 April 2026 at the latest. This project aims to develop superconducting microwave interconnects and metasurfaces for distributed quantum networks
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Regularization. We aim to develop mathematical understanding of implicit regularisation properties in deep neural networks to guide the development of algorithmic paradigms aimed at combining statistical