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We are seeking an experienced and enthusiastic Cloud Engineer to be based at the Institute of Astronomy (www.ast.cam.ac.uk ) in collaboration with the Research Computing Services (www.hpc.cam.ac.uk
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units that are funded by the Horizon Europe Programme. The consortium team will develop an advanced Multi-Processor System on Chip prototype in FD-SOI 28nm CMOS technology that tightly integrates
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, computer vision, medical/image analysis is essential. Experience of research (or interest in) in one or more of the following: deep learning; big data management; computational pathology; medical imaging
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College and is based in FoLSM’s School of Biomedical Engineering & Imaging Sciences (BMEIS) with cross-faculty collaboration with the Departments of Engineering and Informatics in NMES . AE-PSI’s ambition
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engineering solutions for healthcare applications, involving the processing, integration, and analysis of diverse data sources. Picture healthcare as a jigsaw puzzle where every piece tells part of your story
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Fixed Term Job Type Science Full Time / Part Time Full Time Contract Length 2 years (with a possibility of extension) Job Description Overall purpose: Research Programme The Reprogramming and Chromatin
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this using in vivo two-photon calcium imaging, confocal microscopy, stochastic genetic labelling of single neurons, and detailed analysis of neuronal morphology. You will design, develop and perform
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for machine learning, and experience with VR application development. Essential skills and experience: A PhD in computer science, software engineering or a similar technical field, or equivalent professional
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Sapey, provides robust support for projects involving big data and Artificial Intelligence (AI), including Natural Language Processing, Computer Vision, Machine Learning, and Deep Learning. The team’s
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team of structural biologists and microbiologists to tackle this important fundamental question. The project focuses on cryo-electron microscopy (cryo-EM) studies and computational image processing, and