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imaging research experience with a background in applying advanced techniques and methodologies. Basic computer vision and image processing techniques with experience in real-world applications is preferred.
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learning technology/AI as a tool to analyze these images and come up with an algorithm to be utilized for early detection of AD/PD when the patient has no visible sign and symptoms. This project is team
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-molecule imaging, or nanoparticle characterization. Demonstrated expertise in quantitative fluorescence imaging and single-particle analysis. Proficiency in computational tools for image analysis (e.g
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, patch clamp recording, confocal microscopy, calcium imaging and other biochemical analysis (western blot, ELISA, etc.). Ability to work independently and collaboratively in a team environment Excellent
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degree in Computer Science, Math, Statistics or Engineering programs. Ph.D would be an asset. Knowledge of classification algorithms, vision-language models (VLM) and Hugging Face Transformers is an asset
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(CERC) Program for a non-renewable period of eight years in any of the following areas: Medical Imaging, Translational Imaging, Ultrasound Molecular Imaging, Lung Imaging, Theranostics and Quantitative
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, engineers, computer scientists, nuclear medicine physicians, …) towards the overall aim of enabling translational and physician-in-the-loop AI for medical imaging. Our research team is multicultural and
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science initiatives, ensuring data integrity and driving innovation in pediatric imaging data management practices. The Senior Computational Neuroimaging & Neuroinformatics Data Manager is a senior member
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Physiological Sciences and the Department of Mathematics at The University of British Columbia (UBC) invite applications for a Tier 2 Canada Research Chair in Mathematical and Computational Modelling in Cell
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: Department of Chemistry Position Summary: Design synthesize, and characterize BODIPY-based photosensitizers. Conduct HPLC and mass-spec -based product studies to assess the nature of lipid damage in