193 post-doc-image-engineering-computer-vision Postdoctoral positions at University of Oxford
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, Physics, Engineering or a relevant subject area, (or be close to completion) prior to taking up the appointment. The research requires experience in statistical mechanics method development, with
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project focusing on understanding signalling via inhibitory receptors in T cells using functional genomic screening approaches in primary T cells. The post is funded via the Wellcome Trust and is available
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NHS Foundation Trust. The post holder will be a member of the Retinal Disease and Repair Group (Xue Lab) with responsibility for carrying out research to develop advanced therapies for inherited
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Excellence (MRC CoRE) in Exposome Immunology, to be hosted jointly by the universities of Manchester and Oxford. The post-holder will be one of six centre-funded postdoctoral researchers delivering on projects
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We are seeking a motivated and Talented experimentalist for a full-time Research Assistant in Quantum Thermodynamics within Professor Ares’ research group at the Department of Engineering Science
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We invite applications for a Postdoctoral Research Assistant (PDRA) to join a research project funded by an UKRI Grant. Reporting to Professor Patrick Rebeschini, the post holder will be a member of
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for this post. The successful candidate will be required to develop a personal research programme in theoretical cosmology (which may include numerical modelling and/or data analysis), interacting with faculty
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therapy. The work involves applying molecular engineering strategies to enhance the potency and selectivity of antibodies against solid tumours. With a strong emphasis on translational research. You will be
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We are seeking a Postdoctoral Research Associate to join the Division of Cardiovascular Medicine. The current post is within the activities of the recently established MRC/BHF Centre of Research
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of computational biology, molecular biophysics, and cutting-edge analytical technologies. You’ll contribute to the development and application of computational methods to understand protein folding, structure, and