255 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" positions at University of Oxford
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study. In this role, you will use peptide libraries and KIR binding assays to define specificity across multiple MHC-I alleles, and perform functional experiments with primary NK cells to validate ligands
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epidemiology, biostatistics and health economics. You will also have a unique opportunity to develop your clinical experience and expertise in the management of adults with rare bone disorders from the clinics
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Research (OCMR, University of Oxford) and Oxford University Hospitals Department of Radiology (ORRU), focused on the development and delivery of funded clinical hyperpolarised imaging studies. You will
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you will manage your own academic research and administrative activities which involves small-scale project management, to coordinate multiple aspects of work to meet deadlines. You will adapt existing
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projects, coordinating various tasks to meet deadlines. Collaborating closely with internal and external partners, you will help develop research questions, study designs, and protocols, especially those
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project management to ensure deadlines are met. You will collaborate closely with internal and external partners to develop research questions and plans, assist in designing mixed methods studies
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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, delivering tested methods, and creating algorithms to expand MMFM capabilities across domains like cardiology, geo-intelligence, and language communication. The postholder will help lead a project work package
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computational social choice, and aims to develop formal frameworks and algorithms for eliciting, aggregating, and analysing stakeholder preferences over risk and safety in AI systems. The Research Assistant will
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. The project involves developing novel molecular tools to facilitate nanopore polypeptide sensing technologies and is funded by the Oxford Nanopore Technologies. Find out more about the research and group