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Eligibility criteria - physics with knowledge in optics - knowledge in microscopy - knowledge in single-molecule imaging (acquisition and processing) - knowledge in photophysics - knowledge in cell culture
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models, focusing on industrial image analysis Develop advanced deep learning methods for power battery inspection models Design and implement novel algorithms for AI-based CT imaging Lead experimentation
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This role is part of a collaborative Cancer Research UK funded programme focussed on developing radiotracers that target receptors associated with hard-to-treat cancers. It is based in
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Is the Job related to staff position within a Research Infrastructure? No Offer Description You are keen on contributing to new advances in deep learning methodology for imaging for monitoring marine
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elucidating the molecular and cellular mechanisms of the late phase of long-term potentiation (LTP), a key process in learning and memory. The project is based on the development and use of an innovative
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disease patients using radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical
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About Us The School of Biomedical Engineering & Imaging Sciences has attracted multi-million-pound research funding and collaborates with other universities and Faculties within KCL, the NHS
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modelling knowledge, incorporate reliability/uncertainty, and/or explainable models. The position is in the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department
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with adolescents measuring how social isolation impacts the processing of aversive and rewarding cues. The successful applicant will already have some experience with brain imaging (either collecting
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Posting Details Do you have questions about the application process? If so, please refer to the Applicant FAQ’s. Position Information Posting Number: 20260014V Position Title: UG Research Assistant