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Field
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on the nanoscale, as well as a stimulating environment with more than 250 PhD students working on various aspects of nanoscience and technology. Job description The Research Technician will be involved in current
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, biomedical engineering, digital and image signal processing, high speed communication circuits and systems, machine learning, energy systems, and machines and systems. Positions are generally for one quarter
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imaging systems, communication systems, mining operations, and infrastructure inspections. Key responsibilities will include: Research: Develop processing methods for electromagnetic medical imaging using
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, computational science groups/network/community, and data platforms. PhD programs: Department of Biosystems Science and Engineering, ETH Zürich Questions can be directed to: ihbglobal@roche.com Please submit your
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The Chair of Sustainable Construction at ETH Zurich invites applications for a 4-year PhD position within the SNF-funded National Research Programme NRP82 project “NewUrbES – Co-creating new urban
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quality, collate processed images in sequence of exposure and appropriately label. Film/transmit to Image Archival System. Schedule patients for procedures; assist with clerical functions. Charge procedures
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Resonance Imaging (MRI). This post also be linked to research activities linked to the University’s research platforms such as the UNNC Sir Peter Mansfield MRI Centre. Candidates must have a PhD degree in the
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engineering, ocean and medical acoustics and imaging, polar science, remote sensing, and signal processing. We conduct research and development that is sponsored by a variety of federal and state agencies and
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the schools of Cardiovascular and Metabolic Medicine (SCMMS) and Biomedical Engineering and Imaging Sciences (BMEIS) at King’s College London (St Thomas’s Campus). The post will suit someone with a PhD in the
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be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD awarded in Electrical or Computer Engineering Knowledge about Deep Learning