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of Biomedical Engineering (SBME). The successful candidate will work on advanced machine learning applications in computational pathology, medical imaging, and clinical text analysis. They will be expected
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Primary Purpose: We are seeking a highly motivated Postdoctoral Fellow to join a multidisciplinary research program focused on developing a novel ultrasound molecular imaging contrast agent
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 18 hours ago
assembled around the candidate’s own research vision, drawing from partners across Engineering, Medicine, Health, and Science. Research Scope The fellowship is open-ended in research direction, within
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processing, artificial intelligence, cognition and deep learning, machine learning, navigation and mapping, autonomous driving, assistive robotics, drones, dynamics and vibration, acoustics, medical imaging
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of formulations through appropriate injection routes, IVIS imaging for monitoring biodistribution or reporter expression, and collection of tissues for downstream processing, histological assessment, and molecular
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of formulations through appropriate injection routes, IVIS imaging for monitoring biodistribution or reporter expression, and collection of tissues for downstream processing, histological assessment, and molecular
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, engineering and math (STEM) fields — as well as those interested in working on projects across multiple mentors are also strongly encouraged. To receive updates about the application process, please subscribe
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of Biomedical Engineering | Faculty of Medicine (Ali Bashashati) Posting End Date April 30, 2026 Note: Applications will be accepted until 11:59 PM on the Posting End Date. Job End Date July 15, 2027 The expected
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. QUALIFICATIONS Successful applicants will have: PhD in Biomedical Engineering, Ultrasonics, Medical Imaging, Applied Physics, or related field Experience with imbedded hardware, signal processing, and programming
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generated large-scale, multimodal datasets spanning neural imaging, electrophysiology, behavior, and molecular profiling. While these data offer unprecedented opportunities to understand brain function