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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 12 hours ago
aspects of the project, from nanoparticle preparation and nucleic acid design to mechanistic analysis and animal studies. The candidate will be expected to: Work closely with graduate students and other
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experimental optical systems, including optical alignment, calibration, and performance evaluation. Experience in quantitative analysis of imaging performance, such as spatial resolution, phase sensitivity, and
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Python and AI-enabled methods to extract, classify, and summarize insights from unstructured data, including text, images, and other digital content. This work will help BSA detect trends, measure impact
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Research Fellow - Advanced Signal Processing and Machine Learning Techniques for Vital Signs Measurement from Video Images Job No.: 691722 Location: Clayton campus Employment Type: Full-time
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: Candidates will be evaluated through curriculum vitae and portfolio analysis, focusing on merit according to the following criteria: General experience/knowledge in communication design, web platforms, and
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. -A solid foundation in molecular biology techniques (e.g., PCR/qPCR, Westerns, cloning). -Experience with confocal imaging and quantitative image analysis. -Excellent organizational skills, meticulous
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tools. Processing of collected data; Implementation of Machine Learning; Development/implementation of the model prototype in the digital solution (app/platform) to support the clinical trial
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investigators. Contribute to study design, data collection, analysis, and interpretation for translational pathology projects (e.g., NGS, IHC, spatial assays, image analysis). Design and perform wet laboratory
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to develop your own research project within the programme with opportunities to focus on either analysis of MRI imaging, cerebrovascular physiology, or other effects of treatment, depending on prior skills and
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(fUS), fMRI; optical imaging, electrophysiology) Are proficient in the analysis of large-scale and complex datasets Are motivated to pursue independent research ideas in the field of psychiatric and