78 evolution "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" Postdoctoral research jobs at University of Oxford
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, experience working with large-scale multi-omics data, and a proven track record of peer-reviewed publications. Excellent communication skills, experience contributing to grant development, and the ability
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will contribute to major consortium projects, high-impact publications, and grant development. The successful candidate will also provide guidance and mentorship to junior members of the research group
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-term for 4 months. This position combines two complementary research directions at the forefront of quantum technologies: 1) the development of high-fidelity, scalable control systems for solid-state
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About the role We are seeking a Postdoctoral Research Associate to support our projects to understand membrane evolution. The aim of this project is to understand the evolution of the membrane
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. The successful candidate will contribute to this emerging field of AI-driven X-ray experimental science through the development of novel X-ray spectroscopic imaging experimental modalities, the design and
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-clinical immunology and vaccine development programmes, focused on outbreak-related pathogens including filoviruses such as Ebolaviruses, arenaviruses such as Junín, and Bunyaviruses such as Crimean–Congo
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and take a collaborative approach that fosters the development of professional and effective working relationships with key stakeholders. A demonstrated ability to write for publication, present
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and international institutions is highly desirable. They postholder will contribute to the strategic development of the Initiative’s research programme and to its external engagement with policymakers
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research community with access to internal research seminars and other professional development opportunities. Responsibilities The postholder will work with the Director and CoDirector, post-doctoral
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on research pertinent to the project. By scaling up data, compute and model size, large language models (LLMs) have gained an impressive and ever growing array of capabilities. The next phase of development