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-throughput screening workflows and preparing samples for metabolomic analysis. Skills in quantitative image analysis, data processing pipelines, and introductory computational modelling. Competence in
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join us at the Division of Chemical Biology, Department of Life Sciences, and help advance
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applications. Lead and co-author publications in top-tier journals and conferences spanning computing, health informatics, and human-centered devices. Present research findings at academic, clinical, and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
models (LLMs), Computer Vision and and Deep Learning architectures (CNNs, RNNs, etc). * Strong foundational knowledge in machine learning and data science methodologies. * Proficiency in programming, with
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the latest imaging technology offers comprehensive diagnostic support for you and your family. All of UW Medicine’s radiologists are board-certified and specialize in a variety of areas such as neuroradiology
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, siRNA technology, qPCR, FACS analysis, confocal imaging, histology, immunohistochemistry, immunofluorescence, ELISA, Western blots, and other protein chemistry techniques. The ideal candidate will be
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are seeking to appoint a Reader in the area of computer vision education. We welcome applications from candidates who have an international profile in research in any of the following areas: image
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University of California, San Francisco | San Francisco, California | United States | about 20 hours ago
Radiology - MRI Full Time 87354BR Job Summary The Department of Radiology is a 24-hour, seven day a week operation providing imaging services for adult and pediatric inpatients and outpatients
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29 Dec 2025 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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to self-supervised learning, medical imaging, and population-level phenotyping. About You You will have or be close to the completion of a relevant PhD/DPhil (e.g. in Computer Science, Engineering, or