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About the role A position is available for a highly motivated Postdoctoral Research Associate to join the research group led by Prof Carlo Rinaldi at the University of Oxford. The group explores
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for the early detection of mild cognitive impairment (MCI) and prediction of its progression to Alzheimer¿s disease through the analysis of corneal nerve images. You will be based in the Institute of Life Course
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Science (IMS) at the University of Cambridge (https://www.mrl.ims.cam.ac.uk ). This position offers an outstanding opportunity to work within Dr. Maria Chondronikola's group, embedded in a highly
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an interdisciplinary team working to build this new paradigm of environmentally-friendly and functional living materials, which can be used in diverse application domains. The project team includes leaders in
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Applications are invited for a Research and Innovation Associate (Postdoctoral Research Associate) position in the Department of Physics at the University of Oxford to work on a project involving
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well as bioinformatics and bacterial imaging. Main Duties and Responsibilities Perform the following activities in conjunction with and under the guidance of the Principal Investigators (PI): 1. Plan and conduct assigned
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associated computing code for modelling avian influenza outbreaks in Great Britain (GB). One position will focus on modelling the risk of virus invasions into GB in different locations and at different times
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evolution of a recently discovered family of clonally transmissible cancers which affect several species of marine bivalves. This new position is part of an ERC-funded project examining genome evolution in
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centre of teaching and research excellence, a warm and friendly place to work, a unique and historic setting – Durham is a university like no other. As one of the UK’s leading universities, Durham is an
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detection, segmentation, classification, and pose estimation, as well as integrating these models into real-time systems. The role will involve working with large and multi-modal datasets (e.g., images, video