216 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" "UCL" "UCL" research jobs at University of Oxford
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biology, mathematical and computational finance, numerical analysis, machine learning and data science or the Oxford Centre for Industrial and Applied Mathematics (OCIAM). The successful candidates will be
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within the Institute. This role is suitable for individuals who hold, or will have been awarded by the start date, a PhD/DPhil in AI Ethics and/or Data Ethics and/or Neuroethics and/or Philosophy
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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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of the postholder will be to bring together the literature from the education and psychology fields; support development of an observation framework; support data collection; support data analysis by applying
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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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, 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
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demonstrated understanding of data protection guidelines such as “ICH Good Clinical Practice guidelines”. Application Process The University of Oxford is committed to equality and valuing diversity. All
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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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-clamping (mandatory) and Ca2+ imaging as well as FRET; test hypotheses and analyse scientific data from a variety of sources; and collaborate in the preparation of scientific reports and journal articles and
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of adsorption processes, and how these may be exploited to generate desirable transport characteristics. The research is funded by a UKRI Frontier Research Guarantee Grant. More information about the research and