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Field
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the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations
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. You will work as part of a team including clinicians, imaging scientists, engineers and computer scientists, engaged with the treatment of cardiac arrhythmias, as well as engaging closely with
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, perform data analysis utilizing medical imaging data, computer models, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab
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Artificial Intelligence (DSAI) is a multi-disciplinary department hosted under the Faculty of Computer and Mathematical Sciences established on 1 January 2025. DSAI will be at the forefront of cutting-edge
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cell culture and basic molecular biology techniques including cloning, qPCR, RT-qPCR, cloning, fluorescence microscopy, flow cytometry, and Southern and Western blotting Computer proficiency in Microsoft
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to 8 hours/day, lifting <30 lbs, may view computer up to 8 hours/day. Shift Generally Monday – Friday, 8a-5p with some flexibility Job Summary This position is designed to have 70% clinical time, 15
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. Attention to detail. Computer skills. Collaboration. Required Documents Resume/CV Cover Letter Comprehensive Benefits Package: Coverage begins on day one for health, dental, and vision insurance and includes
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models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations and/or experimental
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the scope and impact of our studies. Current research themes include: The impact of GLP-1 receptor agonists on metabolic outcomes and surgical decision-making in bariatric patients Computer vision analysis
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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities