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Scrum) and modeling of system structures and behavior. Experience with common software development tools, for example Git, IDEs, CI/CD and issue tracking. We offer: A family-friendly and collegial working
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-objective optimization, and online decision-making approaches are relevant areas of expertise for this position. Previous experience with developing models, tools, or processes is desired. The candidate has
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and papers Very good knowledge of and experience with MS office, graphic programs, statistical software, bioinformatics tools and online tools (e.g. Illustrator, Lightroom, GraphPadPrism, R) Highly
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lab, you will lead a research project focused on dissecting how the various cellular tasks of MYC are orchestrated in individual cells. You will integrate loss- and gain-of-function tools (e.g., CRISPR
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computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel the anthropogenic and natural processes, and their relative
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system stakeholders to operationalize and test developed tools and strategies. Communicate findings through peer-reviewed publications, conference presentations, and stakeholder engagements. Qualifications
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National Research Council Canada | National Capital Region Almonte, Ontario | Canada | about 3 hours ago
application, please note that you will need to attach the required documents as per the list below when submitting your application. Failure to do so will result in your application being excluded from searches
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developing theories, principles, tools and methods to replace ad hoc approaches to porous media with a fundamental understanding of porous media with relevance in biology, chemistry, geology and geophysics
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), we aim to close this gap, by developing AI models and tools for tabular data, to help organizations, of any size, domain, and level of data literacy, get insights from structured data, efficiently
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data is lacking. With the DataLibra project, we aim to close this gap, by developing AI models and tools for structured data (Table Representation Learning), to help organizations, of any size, domain