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should be highly proficient with a range of machine learning approaches, including unsupervised, semi-supervised, supervised, and various deep learning techniques (e.g., convolutional neural networks
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and place-based policies, the role of colleges in upward mobility, using big data to address health disparities, and measuring how social networks affect mobility. OI's work has shaped policy
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laboratory of Dr. Bruce Carleton and the multi-centre research team of the Canadian Pharmacogenomics Network for Drug Safety (CPNDS). We are seeking scientists to lead research projects with a specific focus
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resulting from the PhD, develop research networks, facilitate knowledge transfer, and deliver outreach activities. Applicants should identify an appropriate academic member of staff, referred to as a ‘Project
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social networks affect mobility. OI’s work has shaped policy discussions at the national and local level, with nearly a dozen of its studies covered on the front pages of major media outlets , such as the
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/network/circuit patterns Perform characterization of structures using atomic force microscopy and optical spectroscopy Collaborate with theoretical researchers in the design and optimization for new
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and the Cancer in Primary Care Research Group within the Usher Institute the candidate will engage with a national and international network of cancer researchers – and nurtured to fulfil their academic
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resilience. Formulate novel research methodologies and contribute to the development of secure architectures for next-generation mobility and network systems. Collaborate with academic and industry partners
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sources. Proven track record leading collaborative industry-academia research projects in carbon management in the mining industry, including carbon accounting, net zero target setting, and carbon offset
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-disciplinary AI research and learning. Incorporates advanced methodologies such as deep neural networks and language/multimodal models, leading the preparation of scientific papers and technical reports