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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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to develop deep learning models for analyzing whole-slide histopathology images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data
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imaging modalities · Strong proficiency in Python for scientific computing, including experience with machine learning and image processing libraries such as PyTorch, TensorFlow, NumPy, SciPy, or OpenCV
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) microscopy, FLIM, STED, lattice lightsheet microscopy, fluorescence correlation spectroscopy (FCS), image processing and analysis and spectral imaging. More information about the ABIF can be found at: http
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: The Positron Emission Tomography (PET) Unit of the McConnell Brain Imaging Centre (BIC) at the MNI (McGill University) is looking to fill a full-time (40 hours/week) position. We are seeking to hire a Research
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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
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. · Assist with preparation of histological sections, including immunohistochemistry and immunofluorescence labelling, following standardized protocols. · Assist with basic data processing and image
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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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include modeling of bulk and single-cell transcriptomic profiles, integrative multi-omics analysis, and the fusion of molecular data with clinical and imaging features. Organizational Status The successful
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. Data Processing Software: Proficiency with programming and data analysis tools relevant to biomechanics (e.g., MATLAB) and/or image segmentation software (e.g., 3D Slicer). Research Background Research