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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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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 incredible place to define your career
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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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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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mathematical and computational techniques, it is essential to have experience in mathematical modelling / dynamical systems theory / numerical methods / coding. An ideal candidate would have a PhD, or
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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
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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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Applications are invited for a Research Associate position in the group of Dr Alexander Jones at the Sainsbury Laboratory, Cambridge University. Applicants must have or be close to obtaining a PhD
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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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research associate with an interest in endosomal biology and neurodegeneration for an 18-month position. Project: This is an exciting opportunity to join a growing research team in Dr McMillans lab focused