174 web-developer-university-of-liverpool Postdoctoral positions at University of Oxford
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, to work on the EPSRC funded project “Prototyping a new green ammonia synthesis process using water, air and concentrated solar energy” in collaboration with Prof. Laura Torrente-Murciano, at the University
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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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We are excited to offer this Research Assistant position at the University of Oxford, under the supervision of Professor Paul Goldberg. This is an exciting opportunity to contribute to a major
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support a high-value materials characterisation programme as a postdoctoral researcher. The ability to think outside the box with creativity, along with having the drive and ambition to develop those ideas
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will employ a multi-disciplinary approach, including protein/nucleic acid biochemistry, bacterial genetics, and phage biology to test and generate hypotheses. You will develop new ideas and approaches
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to determine the activators of inflammation in atherosclerosis. You will identify and develop suitable techniques, and apparatus, for the collection and analysis of data (e.g. flow and mass cytometry, confocal
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Current conceptual frameworks for antigenically diverse pathogens either ignore or dismiss the existence of protective epitopes of limited variability, with most efforts to make “universal” vaccines
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Applications are invited for an exceptional Postdoctoral Scientist to the join the group of Prof. Claus Nerlov to study blood cell development, with particular emphasis on mechanisms of HSC ageing
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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focusing on alignment of MMFM with ethical, legal, and social values. Specifically, the postholder will lead work to: (1) develop bias and fairness methods for domain-specific MMFM to identify and mitigate