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of Medicine We focus broadly on quantitative and machine learning techniques in multiple modalities of medical imaging (e.g. fundoscopy images, OCT scans, MRI, CT, X-ray and digital pathology). We bridge
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, including design approaches, scanning methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system
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24th November 2025 Languages English Norsk Bokmål English English PhD Fellowship in information technology - AI for medical image analysis Apply for this job See advertisement Job description The
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addition PDFs will be allocated a travel fund to support their work. Project title Bridging the Gap: Evolving Data-Driven Digital Twins for Automated Composite Processing The role While composite structures
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Infrastructure? No Offer Description Job description The University of Stavanger invites applicants for a PhD Fellowship in information technology applying artificial intelligence in medical imaging at the Faculty
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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich
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the Job related to staff position within a Research Infrastructure? No Offer Description The position is in the Digital Signal Processing and Image Analysis (DSB) research group, Section for Machine
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, spatial transcriptomics, and RNA in situ hybridization a plus Experience with digital image analysis platforms (Halo, VisioPharm, QuPath, InForm, etc.) a plus Experience with R, Python, and commonly used
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for cognitive flexibility is thus central to the modern digital age and our education system needs innovation to ensure citizens are equipped to develop these future skills. For example, major global challenges
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—energy management by building on and scaling the HouseZero ® concept—Harvard’s prototype for ultra-efficient, naturally ventilated smart buildings—into interconnected communities. This unique initiative