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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
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or molecular biology or any other relevant fields. Programming and high-performance computing Experience in design of computational pipelines for large-scale imaging Experience with programming languages and
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will be responsible for the planning, coordination, and administrative management of preclinical studies conducted within SAIL and the CTB Technology Platforms. The incumbent will serve as the central
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: The Magnetic Resonance Imaging (MRI) Technology Developer will play a pivotal role in shaping and supporting the MRI research platform and program at the McConnell Brain Imaging Centre (BIC). This includes
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engineering, electrical engineering, data science, or a related field. Skills in embedded systems development, electronics, or IoT (C/C++, Python, Arduino/ESP32, etc.) OR in machine learning and sensor data
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 9 hours ago
Department/Unit Pathology Location Halifax, Nova Scotia, Canada About the opportunity Dalhousie University, Faculties of Medicine and Computer Science Canada Research Chair (CRC) Tier 2 in Biomedical Data
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: The candidate will work within the context of the research team at the Radiochemistry-cyclotron Unit, McConnell Brain Imaging Centre under the supervision of the facility director and the production manager. She
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and testing angiogenic peptides. The role involves both in vitro (cell culture, imaging, molecular biology) and in vivo methodologies. Reporting to the principal investigator, the associate will also
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, one of the world’s most vibrant and diverse cities. The Donnelly Centre is an interdisciplinary research institute that fosters integration of biology, computer science, engineering, and medicine (https
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majors in Neuroscience, the department has a thriving graduate program with a total of approximately 45 M.Sc. and Ph.D. students. The Department is proud of the state-of-the-art Science Commons Building