129 developer-"https:" "https:" "https:" "UCL" Postdoctoral positions at University of Oxford
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are twofold. The first goal is to accelerate the solution of the large mixed-integer optimisation problems required to balance energy. The second goal is to develop methods that handle the increasing
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role in developing and applying advanced AI foundation models to decode cellular architecture and understand how genetic variation shapes cellular phenotypes and complex human traits. The role will
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role focuses on the computational analysis and methodological development of third-generation and single-cell sequencing data to understand the role of transposable elements (TEs) in early mammalian
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focuses on developing novel, more disease-representative models of brain tumours that recapitulate how tumours behave in vivo, how they respond to treatments, and in their inter- and intratumoral
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to a multi-lab MRC-funded research project aiming to develop advance humanised pain models. This role is part of a multi-disciplinary team including expertise in cell culturing, electrophysiology, and
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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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understand how the organisation of cancer testing creates or increases inequalities in test access (QUEST). Each project is at a different stage in its development and so there is an opportunity to contribute
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Applications are invited for a Postdoctoral Research Assistant in Space Instrumentation. The post holder will join the Oxford Space instrumentation group to support the development of the Modular
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large-scale proteomic, transcriptomic, and perturbational datasets to build predictive and interpretable models of biological systems. The role will focus on developing computational frameworks
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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