175 optimization-nonlinear-functions Postdoctoral positions at University of Oxford in Uk
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research, adapting existing and developing new scientific techniques and experimental protocols. You will work with limited supervision to design and accurately execute experiments to achieve the goals
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to real-world actions. This is an exciting opportunity to contribute to foundational work at the intersection of AI safety and autonomous system deployment. You will be responsible for designing experiments
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the tree of life. The main responsibilities will be to identify ancient gene families that encode membrane proteins and then use a range of phylogenomic methods to understand their ancestry. These analyses
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transparent windows to separate a liquid/gas environment from the vacuum conditions typically needed (see 10.26434/chemrxiv-2025-0cgp0). This role therefore aims to translate this approach from the synchrotron
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. Richard Walker, Principal Investigator on the project. The successful candidate will work closely with Prof. Richard Walker, along with the broader COMET community, on a project sponsored by the UK Foreign
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Guarantee for an ERC Starting Grant awarded to Prof Tom Rainforth. The post holder will undertake innovative research as part of the RainML Lab (https://www.rainml.uk/) towards the goals of the DataAcq
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. The post holder will work closely with the interdisciplinary team across Oxford and Warwick, and engage with collaborators at other institutions including Berkeley, Groningen, and the Hasso Plattner
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The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global
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plasma-modulated plasma accelerators (P-MoPAs). The successful candidates will undertake research into the underlying physics and operation of plasma-modulated plasma accelerators (P-MoPAs), advanced
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Raman’s cardiovascular research team. This role is embedded within a cutting-edge programme focused on integrating high-dimensional datasets, including advanced cardiac MRI (oxygen-sensitive, metabolic, and