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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 a project in collaboration
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Project Overview: Foundation models have revolutionized natural language processing. These are models trained on broad datasets with powerful generalization tasks such as the GPT series. There have
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: Machine learning/deep learning model development for biomolecular data analyses and prediction Research Area: Data science and computational chemistry Required Skills: A Ph.D. in relevant field within
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 24 hours ago
prevalence of cardiovascular disease (CVD) among frail individuals poses significant challenges, impacting adverse health outcomes. Understanding the complex relationship between frailty and cardiovascular
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youth populations. The analysis will require advanced complex sample statistical data analyses of two large population-based health surveys: the BC British Columbia Adolescent Health Survey and the Health
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available involves conducting data analyses for a project that focuses on understanding health disparities among migrant youth populations. The analysis will require advanced complex sample statistical data
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. The position is located in Vancouver, Canada where the candidate will join the Pharmacokinetic Modeling and Simulation (PKMS) laboratory at UBC’s Faculty of Pharmaceutical Sciences and the Laboratory team
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in people using unregulated substances The position is located in Vancouver, Canada where the candidate will join the Pharmacokinetic Modeling and Simulation (PKMS) laboratory at UBC’s Faculty
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embrace the complexity of digital health implementation and data-driven predictive modelling in low-resource settings with passion, resilience, and lots of creativity. Find yourself in new areas of inquiry
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transportation operations and network modelling, accessibility analysis, data analysis (statistics and/or machine learning methods), and spatial mapping. Because the work will involve multiple years of daily