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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | about 1 month ago
using various HPC clusters for large scale simulations of complex nonlinear partial differential equations (PDEs). · Experience of publishing research in high-impact, peer-reviewed journals and present
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bulk and clonal protein expression data from large melanoma cohorts, integrate molecular, histological, and clinical data through machine learning (ML)/AI-assisted methodologies. Your expertise in ML
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, and to develop therapeutic avenues. The group is particularly interested in understanding how genomic information is used to direct cell-specific gene expression, and to pinpoint gene regulatory defects
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the most suitable data science techniques (e.g., machine learning, cluster analysis) to answer specific research questions based on available data. Running simulation studies and other pre-intervention
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-ATLAS cluster, composed of three UAE institutions. Candidates must demonstrate experience in experimental high energy physics. The group will be contributing to the Physics Modeling (MC software, MC
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expected to have experience in hydrologic/hydraulic modeling and in one or more of the following topics: in situ sensor installation and flood monitoring, GIS & geospatial big data, AI/ML and data science
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Position Summary The Cruchaga lab at WashU Medicine is recruiting multiple Postdoctoral Research Associates. The Cruchaga lab generates and analyzes high-throughput multi-omic data to study
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scientists to run the simulations at-scale using both current large clusters and the next generation supercomputing architectures. Work to consistently meet priorities and deadlines set by the research sponsor
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industrial and healthcare technology to fundamental scientific research, both in our own laboratories and in collaboration with a large international network of partners in academia and industry. LUPO is
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, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data-driven approaches