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Field
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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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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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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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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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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 14 hours ago
research experience Demonstrated expertise in studying membrane proteins using modern molecular, cellular, and genetic approaches, such as gene editing, fluorescence imaging, protein biochemistry, and
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12 Months, Specific Purpose, Full-Time Post Position Summary We are now looking for a Clinical Research Fellow to join the Medical Imaging & Radiation Therapy research team and participate in our
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to root patterning. Integrate molecular and imaging data into a spatio-temporal developmental framework. Research environment and approaches The project is highly interdisciplinary. The successful candidate
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equipment, facilities, space and services . These include a magnetic resonance imaging facility, a cellular imaging team with advanced microscopy instrumentation, customized molecular and genetic tools
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, for the purpose of aiding and enabling downstream tissue engineering and preclinical study, working with other team members. Key Responsibilities: Design and develop a prototype to analyse the electrical signals