Sort by
Refine Your Search
-
Listed
-
Field
-
development and implementation; including specific knowledge and understanding of the theory and principles of XPS as they pertain to surface analysis. Experience conducting training sessions on XPS instrument
-
Sessional Instructional Assistant - MAT132H5F Differential Calculus for Life Sciences(emerg posting)
University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago: MAT132H5F Differential Calculus for Life Sciences (emergency post) Course description: Review of functions and their graphs, trigonometry, exponentials and logarithms. Limits and continuity of functions of a
-
of the approaches available, basic theory, and application. The remaining lectures will be student-driven, seminar-based discussions with Faculty members as facilitators of this discussion. We will cover the major
-
. Minimum qualifications: Candidates should have a completed M.Sc. degree in a related field and basic knowledge of bioethics and ethical theory. Previous Teaching Assistant experience in a bioethics course
-
of the approaches available, basic theory, and application. The remaining lectures will be student-driven, seminar-based discussions with Faculty members as facilitators of this discussion. We will cover the major
-
and associated peripheral equipment. Experience with experiment development and implementation; including specific knowledge and understanding of the theory and principles of XPS and ToF-SIMS
-
professional and meaningful para-professional experience is acceptable. Thorough understanding and application of equity, diversity, inclusion, and accessibility theories, especially as applicable to post
-
strengths . Applicants must have a demonstrated record of excellence in teaching, including a strong demonstrated ability to integrate both theory and practice, evidence of effective communication and
-
half they design, prototype, and present engineering designs to a subset of those identified opportunities. In support of these activities, students continue to explore in greater depth the theories
-
of the fundamental theory of deep learning along with significant experience in the development of software applications that employ neural network and deep learning approaches to computer vision, natural