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, optimization, data visualization, and data story telling. This degree prepares students for entry-‐ and mid-‐level roles in analytics, such as data analyst, data specialist, database analyst, program analyst
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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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accessibility standards, performance optimization techniques, and security testing tools Familiarity with CI/CD pipelines, automated testing, version control, or DevOps practices Additional Information
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research advances the theoretical and methodological foundations of computation in data science, including, but not limited to, sampling and simulation, computational inference, optimization, randomized
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development and optimization of novel acquisition and analysis methods for the forthcoming 9.4 T Bruker MRI system, as well as active collaboration with MR Unit team members and platform users. The candidate
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; physics-based modelling and digital twins; ultra-precision and nanoscale manufacturing; robotic autonomy; and production system optimization. Application areas of interest include the integration of
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research advances the theoretical and methodological foundations of computation in data science, including, but not limited to, sampling and simulation, computational inference, optimization
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Dalhousie University | Halifax Mid-Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 18 hours ago
decision-making, risk assessment, and care planning across the counselling team. Lead continuous renewal, and optimization of the counselling service delivery model, ensuring services remain responsive
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Dalhousie University | Halifax Mid-Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 9 days ago
decision-making, risk assessment, and care planning across the counselling team. Lead continuous renewal, and optimization of the counselling service delivery model, ensuring services remain responsive
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. Experience with method development, imaging assay optimization, or pipeline standardization in a core facility or collaborative research environment. Background in advanced microscopy techniques such