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Learning (SCSIL) is seeking a highly motivated Postdoctoral Researcher with training in computer science, artificial intelligence, biomedical engineering, or a closely related field to join an
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science, machine learning or a related field. Strong experience working with clinical, biomedical, genetic, electronic health record, or health administrative data. Experience with large language models
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Employers and a Greater Toronto’s Top Employer for 2015, 2016, 2017 and 2018. To learn more about our work environment, colleagues, leaders, students and innovative educational environment, visit
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convection. The objective is to develop reduced but realistic models of cumulus life cycles that may be applied toward cumulus parameterization and/or machine-learning algorithms for predicting short-term
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sciences.Tackling key problems in biology will require scientists trained in areas such as chemistry, physics, applied mathematics, computer science, and engineering. Proposals that include deep or machine learning
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: Develop advanced bioimaging methods and apply them to study the molecular mechanisms that paxillin and its binding partners use to regulate cell migration. Will learn cell biology, advanced microscopy
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monitoring. Familiarity with computational image analysis, scripting (Python, MATLAB), or machine learning–based image workflows. Experience with method development, imaging assay optimization, or pipeline
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to superconducting quantum circuits, circuit QED, quantum error correction, microwave quantum optics, variational quantum algorithms, and the application of machine learning to quantum systems. As a member of the
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Program is part business school, part research institution, and part startup incubator. Based at the Jacobs Technion-Cornell Institute , Runway ushers recent PhDs in digital technology fields through a
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sessions, and public seminars for project stakeholders Education and Experience: The successful candidate must possess: PhD awarded in the past 5 years in a related field such as urban planning, engineering