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Field
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high-performance 3T Magnetic Resonance Imaging (MRI) system that enables researchers to explore the structure and function of human brain. A high-performing computing server has been set up to support
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scientists, biomedical informaticians, clinicians, and public health researchers to develop deployable, trustworthy methods that improve patient outcomes and health system operations. Key responsibilities
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to ICFA collections for scholars and the public. The Fellow will be fully integrated into the Library and Pre-Columbian Studies Program and will work closely with the staff of the Image Collection and
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Programme? Not funded by a EU programme Reference Number EU-59152 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Faculty of Pharmaceutical Sciences
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a Horizon Europe Pathfinder science-to-technology breakthrough, targeting a paradigm shift in fabricating a novel optically active crystal – rare-earth (RE) doped sapphire (REDS). The EIC-funded
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. Computer Science, Statistics, Data Science, Health Informatics, or related field) Proficiency in relational database design, construction and querying (SQL) Proficiency in Python and/or R for data
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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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of PhD submission. Strong expertise in advanced confocal and/or light sheet imaging. Strong expertise in quantitative image analysis approaches. Excellent molecular biology skills. Strong interest and
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* Experience in one or more of: AAV/vector biology, in vivo gene delivery, mouse models/surgery, single-cell/spatial transcriptomics, ATAC-seq, microscopy, quantitative imaging, computational analysis (R/Python
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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