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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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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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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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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | about 2 months 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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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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them in this position: distributed and cluster computing, with a specific focus on PySpark, working with large tabular data with python/R, basic principles of natural language processing and their
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, and image analysis tools and working on a computing cluster (HPC). Vivid Interest in interdisciplinary research, leading and working on projects with pathologists, medical experts, computer scientists
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strategies for solar energy devices. SOLEN (SDU Climate Cluster, SCC, Elite Centre on Solar Energy Conversion and Storage) is an SCC Elite Centre that brings together 4 SDU faculties located across 4 SDU
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. * Proficiency in R, Python, or related software and programming languages. * Experience with big data, linux systems, and remote computing clusters. * Knowledge of genome-wide approaches and other statistical