839 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof"-"Prof" positions at University of British Columbia
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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Research and Facilitation, Level C Job Title Research & Program Developer, SEEDS Sustainability Program Department Manager
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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Information Services, Level C Job Title Manager, Development Writing and Digital Engagement Department Senior Leadership | DAE
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machine learning computer models (i.e. algorithms) for medical imaging, bioinformatics (i.e genomics data including single cell and spatial omics) and drug development applications. Performs analysis
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of developing algorithms that are both technically robust and clinically relevant, ensuring that these innovations can be integrated seamlessly into existing imaging systems and workflows. Collaborating with
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applications across a wide range of imaging and video processing fields beyond medical imaging. The Research Associate will be at the forefront of developing algorithms that are both technically robust and
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: image processing, machine learning, and patient records. Track record of development and implementation of novel machine learning algorithms in the healthcare setting or other spaces. Extensive experience
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developing machine learning algorithms specifically designed for medical imaging applications. In addition, performs analysis of tissue images of cancer using machine learning methods that have been prototyped
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Science Specialist will: 1) review empirical data and algorithms applied to the price, end-use, fishing effort and layer 3 databases and develop code that imputes missing data to complete gaps in
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Association in Canada’s (UNA-Canada) International Development & Diplomacy Internship Programme (IDDIP) to university graduates from many disciplines including: international affairs (relations), peacekeeping
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interdisciplinary research on the determinants of human health, well-being and development. We support secure research access to individual-level, de-identified longitudinal data on 5.4 million residents living in