107 data-"https:" "https:" "https:" "https:" "https:" "RMIT University" Postdoctoral positions at University of Oxford
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of extension by 1 year. This project involves searching new particles using the data from the ATLAS experiment at the Large Hadron Collider. The successful candidates will analyse data from the ATLAS experiment
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for real-time human data processing in interactive settings. Technical expertise in areas such as electrophysiological recording, VR paradigm design, closed-loop algorithm development, or clinical
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inference beyond human data and across many species, as part of a project focusing on predictive plant breeding. You will collaborate with an international team across the Universities of Edinburgh, Oxford
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of reproducing aerodynamic loads in real time for physical experiments. The project combines numerical modelling, data-driven methods, and laboratory experimentation to advance next-generation real-time hybrid
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life and what happens when families are unable to support young people’s digital lives. Responsibilities include: • Supporting and conducting data collection across the research phases
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plasticity would be useful but not essential as training will be provided. Informal enquiries may be addressed to Prof. Ed Tarleton (email: edmund.tarleton @eng.ox.ac.uk) For more information about working at
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opportunities as this is a network grant including external collaborators. Please see the below 'Job Description' for further details on the responsibilities and selection criteria, as well as further information
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with sufficient specialist knowledge in normal and malignant haematopoiesis research. Experience of molecular biology, single cell gemonics and/or spatial transcriptomics techniques and data analysis will be
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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
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, collecting data on small-scale movements of the eyes during visual tasks using high-resolution in vivo retinal imaging. The post is full time for 12 months or until the grant end date of 30 June 2027