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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 7 hours ago
July 1, 2027. The position is subject to budgetary approval. The Instructor will primarily teach German language courses at all levels, as well as courses in the German Studies program. These are courses
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: Cover letter Curriculum vitae Research Statement (up to 2 pages) describing your current and proposed research program and showing how your work contributes to advancing new ways of addressing the social
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, Custodial Operations and Building Services, this position is responsible for the delivery of the custodial operations and building services program(s) and provides leadership to achieve superior customer
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, or Indigenous person. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. REQUIRED QUALIFICATIONS: Graduate degree from an accredited program of
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, neonatology, genomics, immunology, and computational biology. Upon appointment, the Fellow will have access to well-characterized clinical cohorts and existing multi-omics datasets for analysis and publication
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Part-Time Academic (ENVI 5205: Law & Policy for Resource and Environmental Management) - Winter 2027
Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 7 hours agopreventing or redressing environmental degradation will also be addressed”. The organization of the course is flexible but for those students enrolled in the MREM Program, a substantial portion of the
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leadership for the Division's clinical, educational, research, and administrative activities, including program development, faculty mentorship and development, quality improvement initiatives, and
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Interventional Sciences. Preferably Students in Public Health, Epidemiology, Experimental Medicine, Computer Science, or a related field are also eligible. Graduate-level training in biostatistics, epidemiology
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. Experience developing, curating, designing, or coding innovations, or participating in digital health initiatives. Experience with programming languages, machine learning, or health informatics would be
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uncertainty and learning from new data. The course introduces the basics of Bayesian inference and Markov chain Monte Carlo methods, then shows students how to compute and make inferences for complex data