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intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology. For more details, please view https://www.ntu.edu.sg
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vision, machine learning, computational imaging, surgical data science, biomedical engineering, medical image computing or a closely related discipline. They should have strong knowledge of AI, computer
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD thesis will be carried out
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Computing Operations 30%): Under the guidance of the CAVS Manager, Manages Classroom Technology Specialists in the provisioning, software installation, and machine imaging across approximately 275
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
spanning optics, acoustics, electronics, computation, engineering, physics, medicine, and clinical translation, you will contribute to technologies that expand the capabilities of clinical optoacoustic
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Summary The Department of Neurosurgery at the University at Buffalo seeks a full-time Postdoctoral Associate to support an interdisciplinary research program focused on image-guided navigation
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(PEX), under the following conditions Scientific Area: Materials Engineering, Mechanical Engineering, or related fields. Recipient category: Students enrolled in a PhD programme or Masters students
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from across campus and other institutions. Reporting to the Associate Dean for Graduate Studies & Research, and under the general direction of the Sr. Systems Analyst Lead of Engineering Computing
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, the candidate will work in the Andrea Hevener Lab and conduct basic science research, including studies on genetically engineered mouse models and cell lines. Candidates must have experience visualizing and
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of biomedical informatics that impact one or more clinical focus areas. For methods of AI, we are interested in candidates who bring expertise in building methods that learn across one or more of imaging