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Electrical & Computer Engineering, East Tennessee State University, and the Ludwig Maximilian University of Munich. Completion of a research-based master’s degree is required prior to commencing the PhD
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for a full-time tenure stream position in the areas of Machine Learning and/or Self Driving Labs applied to Drug Discovery, Pharmacology and/or Toxicology at the rank of Assistant Professor, with
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day ago
(CUPE), Local 3902 Unit 3 and the University of Toronto. Minimum qualifications: PhD in Geology, Environmental Earth Science or related field, University teaching experience preferred, familiar with
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day ago
of Toronto. Minimum qualifications: PhD in Geosciences or Environmental Sciences or Environmental Chemistry, University teaching experience preferred, familiar with instructional computer technology (i.e
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the area of structural or spatial mass spectrometry-based proteomics, combined with innovative machine learning, commencing at the Manitoba Centre for Proteomics and Systems Biology on October 1, 2025, or a
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believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment
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program evaluation. Competence with various computer applications and technologies for teaching & learning When applying, please upload a cover letter and CV/resume and mapping of your experiences
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AI. Students will apply these insights in class, participate in an innovation lab case and explore the foundational elements of Machine Learning (ML) in healthcare including how to critically appraise
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Electrical and Computer Engineering students describe him as a great coach, mentor, and supporter of their work. While all doctoral advisors are expected to teach their students how to properly conduct
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datasets, including time-series analysis and machine learning applications. Use spatial statistical tools to relate remote sensing and in-situ observations. Proficiency in geospatial software platforms