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: Develop novel machine learning theories and techniques for analyzing noisy time-series data, with a particular focus on seismic signals Perform uncertainty quantification in time-series analysis to assess
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 18 days ago
completion of any course grading not finished by December 31, 2025 for F courses. Course Code & Description Section/ Time Dates of Appointment Estimated Enrolment Estimated T.A. Hours Duties Qualifications
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mathematics (Pure Mathematics: Analysis, Algebra, Geometry and Topology, Algebraic Geometry, etc. Applied Mathematics: Information Theory, Coding and Cryptography, Mathematical Foundations of Signal Processing
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and troubleshooting of the Canvas Learning Management System, script and/or source code to support applications, and web development and website maintenance, as necessary. Develops and implements
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Systems, Differential Geometry and/or Information Theory. Excellent academic credentials. Experience with programming languages (such as Python, Julia, Matlab, C/C++, etc.). Strong knowledge and interest in
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UiO/Anders Lien 15th September 2025 Languages English English English PhD Research Fellow in Sociology/Human Geography and Organizational Theory Apply for this job See advertisement About the
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Trainee attends the prescribed training to learn the principles, practices and theory of criminal and civil law enforcement and codified and case law. The trainee also receives training in report writing
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analysis, interpretation, and write-up using a critical social science approach. Duties will include: coding and thematic analysis and of data; interpretation of results; developing a robust qualitative
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Systems, Differential Geometry and/or Information Theory. Excellent academic credentials. Experience with programming languages (such as Python, Julia, Matlab, C/C++, etc.). Strong knowledge and interest in
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. The successful applicant will code and run low-dimensional non-linear systems as well as analysing datasets from Earth System Model ensembles. They will also collaborate with others on the project to support