115 buidling-information-modelling Fellowship positions at University of British Columbia
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(Alexander Uhl) Posting End Date June 26, 2024 Note: Applications will be accepted until 11:59 PM on the Posting End Date. Job End Date Jul 31, 2025 The expected pay for this position is $4,166.67/month. The
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/ development. Expertise in analysis and manipulation of health survey and health administrative data. Experience building or working with microsimulation models will be considered a strong asset. Background in
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The Data Sciences Institute (DSI) is a central hub and incubator for data science research, training, and partnerships at the University of Toronto. Its goal is to accelerate the impact of data
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facilities and a regional ocean circulation model. We are seeking candidates who can combine empirical, data science and models with theoretical approaches to lead innovative, collaborative and field-advancing
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gaining insights into their collections’ potential uses and users, scholarly information behaviors, and current teaching and learning practices. Goals Leadership - To build leadership capacity for cultural
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, policy, energy conversion, new business models, techno-economic and life cycle analyses, machine learning, optimization, AI, intelligent networks, among others. The PDF will join an ongoing project
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Organization The British Columbia Centre on Substance Use (BCCSU) is the provincial resource for evidence-based information and treatment guidance in the field of addiction. The BCCSU plays
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) Posting End Date April 7, 2024 Note: Applications will be accepted until 11:59 PM on the day prior to the Posting End Date above. Job End Date Apr 30, 2025 This position is located within a health-care
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of the lab to quickly start up their own research projects. The position will provide a unique opportunity for mentoring trainees, supervising technicians and interacting with industry. This is an excellent
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computational maquette chemists in the group and develop atomic-scale models for the synthesized compounds, particles, and mineral surfaces. • Analyze and interpret experimental data, and prepare research