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molecular imaging research program. This platform will support translational studies mainly in oncology, through quantitative multimodal imaging (PET-CT, SPECT-CT, optical imaging, autoradiography
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engineering, as well as computer vision, imaging, hyperspectral imaging, machine learning techniques in food and agricultural area, is desired. A understanding of modern AI model development Stipend $70,000.00
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in computer science, bioinformatics, physics, applied mathematics, or a related field ‒ Strong theoretical foundations and practical skills in AI and image processing ‒ Strong experience in Python and
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a B.Sc. in Science, Engineering, Physics, Computer Science or a related field with a focus on medical imaging. It is essential that applicants have excellent interpersonal skills, oral and written
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 6 hours ago
Position Details Position Information Position Title Donald Hill Family Postdoctoral Fellow - Artificial Intelligence in Health & Medicine Posting Number PTAP3278P Department/Unit Computer Science
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Ph.D. in electrical engineering, biomedical engineering, computer science, medical physics, neuroscience, or a related field. While this is the preferred background, highly qualified candidates from
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. We combine molecular biology, imaging, genomics, and computational approaches to address fundamental questions in genome regulation. The lab fosters a collaborative and interdisciplinary environment
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that are facile with computationally efficient, rigorous machine learning for image region identification, demonstrate an understanding of both planetary and scalable computer science, and have publication
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or Functional ultrasound imaging or Electrophysiology (neuropixels) in behaving animals Quantitative data analysis and computational modeling of network activity Data acquisition systems, signal processing and
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electrophysiology. The members of NC have also an access to cutting-edge human brain imaging (MRI, MEG, EEG, TMS, tACS), supercomputing via center for scientific computing (CSC) as well as Finnish biobank and Finngen