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with expertise in biology, biotechnology, computer science, microscopy and bio-engineering that is developing new microscopy hardware and new computational algorithms for the encoding and decoding
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are available immediately and intended for early-career scientists with an advanced degree (PhD). The selected fellow(s) will join the research group of a Principal Investigator through a TQT-funded project, and
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presentations for academic and industry stakeholders. Qualifications and Experience PhD in microbiology, biochemistry, genetics, molecular biology, cell biology, or a related life science field. Comprehensive
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developing image analysis and machine learning algorithms and tools for aerial imaging and analysis. You will also contribute to data collection, data curation, and the development of a data portal for project
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application of these techniques to the domain of information science. Topics will include software principles and practices, programming concepts and techniques, data structures, and algorithms. This course is
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there is a change to the date/time) Location: Chancellor Day Hall Course Description: Technology law of how to regulate AI algorithms. How technological innovation produces social change: human
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the knowledge and tools required to balance time and resources between teaching, research, and administration. Estimated Enrolment: 40 PhD candidates and postdoctoral fellows Number of Positions: 1 Posting end
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Megan Thomas Doctor of Philosophy in Pharmaceutical Sciences (PhD) Addressing equity considerations in research and care of patients with inflammatory arthritis View All Stories Further Information
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Number: COMP 251 - Course Title: Algorithms and Data Structures Hours of work (per term): 90 Required duties: • - effectively and timely communicate with the instructor and the students; • - maintain
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Number: COMP 360 - Course Title: Algorithm Design. Hours of work (per term): 90 Required duties: • - effectively and timely communicate with the instructor and the students; • - maintain and observe