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Field
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experience in identifying nervous system pathomechanisms and developing prototype drug candidates. Project outcomes will be protected as intellectual property and will provide a foundation for translation
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Excellent organizational skills and able to work within given deadlines Familiarity with image data analysis tools such as SPM, FSL, AFNI, DSIStudio, Matlab, Python etc Prior experience with academic
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on the project to deliver state‑of‑the‑art single‑photon imaging capabilities. Job Requirements: The Research Fellow will be required to: Design, assemble, and align a single‑photon‑enabled scanning microscope
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holder will use these novel fluorescent antagonists alongside bioluminescence resonance energy transfer (BRET), confocal imaging and downstream functional assays (calcium mediated signalling assays, G
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models, focusing on industrial image analysis Develop advanced deep learning methods for power battery inspection models Design and implement novel algorithms for AI-based CT imaging Lead experimentation
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Kim in his research laboratory to elucidate the effect of Abeta42 on mitochondrial liquid-liquid phase separation using live-imaging techniques. Research activities will focus on: (1) Molecular
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detection, classification, and segmentation using real-world datasets. ii. Design and implement software modules to integrate the models into a working system prototype. iii. Perform data annotation. iv
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pathomechanisms and developing prototype drug candidates. Project outcomes will be protected as intellectual property and will provide a foundation for translation through clinical studies and appropriate
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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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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 15 hours ago
, Parkinson’s, depression, psychosis) Multimodal AI for diagnostics — integrating imaging, text, physiological signals, and genomics Safe, explainable, and trustworthy AI for clinical decision support Precision