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demonstrate expertise in mathematics for machine learning, applied machine learning, data science, and time series analysis. The successful candidate should be capable of teaching a range of courses, from
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(macro). Advances in cutting-edge technologies such as Machine Learning, Natural Language Processing, and Generative Artificial Intelligence have paved the way to exciting opportunities to transform health
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lead an independent research program in computational oncology, centred on new quantitative and machine-learning methods that integrate single-cell genomics and spatial profiling to study cancer
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and spoken English GE 112 Civil background 15 Running/Supervising labs 2 Lab experience, excellent written and spoken English GE 112 Computer Eng background 15 Running/Supervising labs 2 Lab experience
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 6 hours ago
combination of training and experience). Proficient computer skills (Microsoft Outlook, Word, Excel, PowerPoint, SharePoint, Adobe Pro). Excellent communication and interpersonal skills. Ability to work
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 10 days ago
assignments. Access to a computer (no tablet/iPad/phone) with working internet to run Microsoft Teams for online meetings and instruction is required. Clinical Instructors will report to the instructor
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underpinning fundamentals such as fluid mechanics, dynamics and control with application of recent advances in artificial intelligence, machine learning and multidisciplinary design optimization
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opportunities for students, staff, faculty and community members across the three campuses. In achieving this vision, the Faculty is guided by values of integrity, respect, equity and diversity https
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analyses using advanced scientific tools though an easy to use interface. More information about CBRAIN can be found at https://cbrain.ca and https://github.com/aces/cbrain . Reporting to the Director
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architecture, computer science, engineering, human–computer interaction, public history, and information technology. This diversity and commitment to multidisciplinarity have created a unique research and