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development, and other departmental service roles as appropriate. For further information on current course offerings, please refer to the MDA program website. Qualifications or Experience and Skills Required
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Assistant Professor- Health Informatics and Translational Digital Health Systems and Policy Research
. Applicants are encouraged to review the research and teaching profiles of current faculty members. Please visit our home page: IHPME . RESPONSIBILITIES Advances in cutting-edge technologies such as Machine
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, interventional effects, multiple mediation), and advanced longitudinal modelling (mixed-effects models, growth curve models, latent class trajectories) with machine learning and AI-based approaches. The Lab is
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well as part of a team; ability to function under pressure and in stressful situations; ability to evaluate the work of others; sound computer knowledge and proficient with Microsoft products. While applicants
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title: CSC2701HY – Communication for Computer Scientists – The Job Hunt; 0.1 FCE (Sections LEC5101, LEC5201, LEC5301, LEC5401) *Please note, this is a 0.5 FCE course co-taught with other instructors
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title: CSC2701HY – Communication for Computer Scientists – Interview Training; 0.1 FCE (Sections LEC5101, LEC5201, LEC5301, LEC5401) *Please note, this is a 0.5 FCE course co-taught with other
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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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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 2 months ago
faculty position at the Instructor rank. Exceptional cases at the Senior Instructor rank may be considered. Dalhousie University is comprised of 6,000 faculty and staff amongst its 13 faculties. Current
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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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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