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Field
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, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world's most pressing issues. In research and academic programs
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managing scientific space hardware developments with multiple interfaces, including PI, scientific consortiums, projects and industry Experience in satellite in-orbit commissioning and performance
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manages multiple projects of varying complexities. Based on expert technical knowledge, skills and experience, develop broad-based solutions involving multifaceted technologies, and business processes
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Cornell faculty members and the project’s co-principal investigators (from multiple organizations) to oversee a cross-organizational research team consisting of a group of postdoctoral associates, PhD
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practices and methodologies and represents the interests of data science 20% Develops and optimizes advanced computational algorithms using Artificial Intelligence (AI), Machine Learning (ML), regression, and
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novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting. Lead development of innovative visualization techniques and interpretable machine learning methods (30%). Drive
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science, including supervising team members, developing novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting. Lead development of innovative visualization techniques
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. Biomedical Informatics is an interdisciplinary field at the intersection of biology, medicine, and quantitative sciences. Biomedical Informatics researchers develop new methods to integrate and analyze vast
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, sometimes from multiple jurisdictions, to achieve sample sizes appropriate for training algorithms. This creates challenges with data security and data flows (due to legislative restrictions). Further, data
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Simon Fraser University | Northern British Columbia Fort Nelson, British Columbia | Canada | 1 day ago
at all levels—developing new materials, designing creative and interactive technologies, engineering future hardware platforms like quantum computers, and writing the algorithms that power machine learning