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tokenization techniques and self-supervised learning methods to integrate diverse data streams (cognitive results, text, creative choices, psychometrics). ● Train models utilizing novel multi-modal
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foundations of computation in data science, including, but not limited to, sampling and simulation, computational inference, optimization, randomized numerical methods, and scalable algorithms for high
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. Job Summary This position provides technical leadership for numerical research within the ASSET Group, with a primary focus on the seismic performance and design of reinforced and precast concrete
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developing conceptual and detailed designs of archetype high-rise buildings in Canada and the United States, development of advanced numerical models using Python and OpenSeesPy to simulate the
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to work within the Aparicio lab ( https://aparicio.molonc.ca ). Located at the BC Cancer Research Institute, within the Department of Basic and Translational Research; Molecular Oncology, our
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Summary: We currently have an opening position as a Research Assistant 2 (RA2) working with Prof. Gaskin. Responsibilities: Literature review of numerical models of river confluence mixing
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proteomic and transcriptomic data. Analyze genotyping array, whole-genome sequencing and proteomic data from institutional and international cohorts on high-performance computing clusters. Work with
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/ multi-ancestry methods to biobank-scale human genetics and proteomics data. Analyze plasma and tissue proteomics data (e.g., Olink, SomaScan) integrated with genotype, phenotype, and electronic health
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predicting short-term convective hazards. The model development will be aided by synthesizing observational data and high-resolution numerical simulations to gain new conceptual insights on cloud life cycles
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Summary: CBRAIN is a flexible Ruby on Rails framework for accessing and processing large amounts of data across a distributed network of High Performance Computing (HPC) and Cloud Computing