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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 19 hours ago
-level service activities. Promote an inclusive and supportive learning environment for undergraduate students. Qualifications: A PhD in Electrical and Computer Engineering or a closely related discipline
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epigenetics, genomics, multiomics, big data and machine learning an asset. · Is willing to learn new techniques and novel analysis methods for application. · Skills in R required. · Experience
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Nature Careers | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 8 hours ago
Health and the IWK Health Centre in Halifax. The successful candidate will have an opportunity to be part of the Big Data Analytics, AI & Machine Learning research cluster in Computer Science, and the
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relevant to diverse datasets. Experience with genomics, multiomics, big data and machine learning an asset. Is willing to learn new techniques and novel analysis methods for application. Skills in R required
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 19 hours ago
metabolomics] research, with experience in the use of techniques in machine learning, statistics, algorithm engineering, bioinformatics, or advanced data visualization. Evidence of effective participation and
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Date. Job End Date Jun 27, 2026 At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty
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candidate will be appointed to a full-time tenured position at the rank of Associate or Full Professor within the Faculty of Engineering. In addition to leading a world-class research program, they will teach
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research-intensive university. We seek candidates able to contribute to curricular development and to teach across our diverse professional (BI, MI, MMSt) and research (PhD) programs. Evidence of excellence
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. Job End Date September 1, 2026 At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty
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sciences. Areas of interest include but are not limited to: AI-driven drug discovery and development, quantitative systems pharmacology, large language models for education and clinical support, machine