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Field
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prior surgery experience and optical imaging experience is preferred. However, any qualified individual with the tenacity and willingness to learn and take on a complex project would be favorably
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must have extensive expertise in deep learning for medical image analysis. We welcome applications that only partially qualify these requirements but make sure you argue why you are suitable
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 15-Jul-25 Location: Irvine, California Type: Full-time Categories: Academic/Faculty Medical Imaging Internal Number
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. This position offers the opportunity to work in a vibrant, well-funded lab with strong collaborations across neuropathology, neurology, and neuroscience, and access to advanced resources such as imaging cores
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fluid dynamics and vascular modeling in microenvironments Skills in data analysis and image processing (e.g., Python, R, ImageJ) Ability to mentor junior researchers and contribute to team leadership What
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
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control of image illumination/acquisition and stage movement systems. Processing and analysis of data from the above. Interacting with commercial collaborator for the translation of concepts to applied
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intersection of AI, imaging technology, and oncological surgery. Ideal candidates will have: A Master's degree in artificial intelligence, bioinformatics, computer science, physics, mathematics, or a similar
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electrophysiology. The lab is equipped with two cutting-edge patch-clamp electrophysiology/fluorescence imaging systems, including a frequency-domain fluorescence lifetime imaging microscopy system. Research Focus
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group with expertise in primary headache disorders, electrophysiology, disease modelling, behaviour, chemogenetics and in vivo neural imaging technologies. The Headache Group is part of the WSPaRC, with