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in the Center for Protein Design, you will be leading one or several research programs, spearheading computational design efforts to create proteins with new functions, developing AI methods
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areas. Key Responsibilities: To independently undertake research in computer vision and machine learning. To produce research reports and/or publications as required by the funding body
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algorithms and systems. Help with research presentation works such as high-quality paper writing. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or
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support activities to develop and maintain tools and computational methods needed to gather and analyze data. Position Details Additional Information Posting Category Research - Non Academic Working Title
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to discover benefits that start on day one, and UC Total Compensation Estimator to calculate the total compensation value with benefits. Qualifications 1-3 years Experience working with and/or maintaining
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significant mathematical and computational background to learn and develop new AI methods. While demonstrated experience in computer vision and deep learning for pathology or other biomedical image analysis is
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multilateral environmental fund [the Global Environment Facility (GEF)]. Estimated course enrolment: 70 Estimated TA support: N/A Class schedule: Tuesday 2-5 pm *The delivery method for this course is currently
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skills, as well as cultural competence. Taught in Russian, all materials in Russian. Includes supervising a TA. Estimated Course Enrolment: 20 Estimated TA/Marker support: 1 TA (50 hours) Class schedule
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and Chinese as minority languages, with a special focus on language contact and language politics. Estimated course enrolment: 25 Estimated TA support: 0 Class schedule: Tuesday, 3:00 pm – 5:00 pm
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for opportunities to defend and advance their clients' organizational interests. Estimated course enrolment: 20 Estimated TA support: N/A Class schedule: Wednesday 3-6 pm *The delivery method for this course is