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-resolution in vivo imaging A collaborative, interdisciplinary environment in the Department of Pathology and Laboratory Medicine Active, well-funded projects addressing critical gaps in neurovascular research
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value of benefits provided by Heriot-Watt University Detailed Description This project is part of the new UK Hub in Quantum Sensing Imaging and Timing (QuSIT), that stands as an international centre
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this date, in both directions). The position is funded by NERC grant 'High Resolution Radar Imaging of Pyroclastic Density Currents', in collaboration with University College London, and the University
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Postdoctoral Research Associate in Radar Imaging of Geophysical Flows ( Job Number: 25000801) Department of Earth Sciences Grade 7: - £38,249 - £45,413 per annum Fixed Term - Annualised Hours (Full
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Number: 6268974 University of California Irvine Postdoctoral in Magnetic Resonance Imaging Position overview Salary range: A reasonable estimate for this position is $66,737-$80,034 for Exempt and $31.97
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cell biology; cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering; transplantation immunology; pharmaceutical science; physiology and
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cell biology; cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering; transplantation immunology; pharmaceutical science; physiology and
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 hours ago
. Helmut Grubmüller) is inviting applications for a PhD Student or Postdoc (f/m/d) for the project Theory and algorithms for structure determination from single molecule x-ray scattering images. Project
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validate mechanical and electronic systems for image-guided therapy. Integrate pioneering and proven tools for the precise control and validation of interventional device placements. Examine clinical
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We are seeking a full-time Postdoctoral Research Assistant to join a cross disciplinary research project to improve our understanding of colorectal cancer. Deep learning has revolutionised image