84,160 parallel-computing-numerical-methods positions in Ireland-University-Ranking-2024
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course lecturer position to teach in Winter 2027. Please include your cover letter and Curriculum Vitae. Course Lecturer MECH 546 - Finite Element Methods in Solid Mechanics (3 credits) Instructor must
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challenges in medicine, technology, and sustainability. Founded by Nobel laureate David Baker, the IPD fosters a collaborative, interdisciplinary environment, bringing together expertise in computational
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 14 hours ago
Description: Sessional Lecturer: IMI2995H – Special Topics in Urban Innovation - Urban Analytics: Data, Methods, Mapping, and Visualization The Institute for Management and Innovation’s Master of Urban
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Data & Methods Postdoctoral Researcher. Reporting to Professor Masooda Bano, the post-holder will join a research team funded by a European Research Council (ERC) Advanced Grant, Choosing Islamic
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: Department of Biochemistry Course Title: Laboratory Methods in Biochemistry and Molecular Biology 1 (Lab) Course Code: BIOC 220 Estimated Number of Positions: 8 Total Hours of Work per Term: 146 Name of
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Program in Sociology at the Allan Hancock College campus in nearby Santa Maria. Ability to teach in the following areas is required: Race, Social Theory, and Research Methods. The ideal candidate will have
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Responsibilities Conduct research in computational methods for environmental and engineering applications. Develop and analyze numerical algorithms, reduced-order models, and machine-learning-enhanced simulation
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August 1, 2027, in the field(s) of Data Science, Quantitative Methods, or other relevant fields. Candidates should be effective teachers and must be strongly committed to excellence in research, creative
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School of Nursing Course Title: Research Methods in Nursing 1 Course Code: NUR2 612 Estimated Number of Positions: 1 Total Hours of Work per Term: 90 Hiring Unit: Ingram School of Nursing Course Title and
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Help shape the storage infrastructure that enables researchers across the University to work securely and effectively with large-scale, data-intensive computing. This is an exciting opportunity