Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Associate Professor, Tenured Canada Impact+ Research Chair, Human Mobility and Wearable Technologies
social and economic benefits for Canada and the world. A core expectation is that Chairs and their research teams will build significant new partnerships and actively mobilize research outcomes
-
immunotherapeutics; or (3) nanomedicine and theranostics. The successful candidate will hold a PhD or equivalent, have completed postdoctoral or equivalent training in a discipline relevant to cancer research, exhibit
-
University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
an anticipated start date of July 1, 2026. Applicants must have earned a PhD in Astrophysics or a closely related field by the time of appointment or shortly thereafter, with a demonstrated record of excellence in
-
date of July 1, 2026. Applicants must have earned a PhD, EdD, or equivalent doctoral degree with a focus on Indigenous Studies and Education or a closely related field by the time of appointment
-
on Indigenous Knowledge Systems. https://abundant-intelligences.net/ . The Toronto pod is comprised of faculty from OCAD University and York University in close partnership with collaborating institutions
-
education at the convergence of engineering, medicine and biology. Through collaborative, innovative, and interdisciplinary approaches and building on UBC’s academic and research excellence, the School
-
, and imaging-based omics to deconstruct brain tumour behaviours into their cellular and molecular building blocks. Our research spans the interface of molecular biology, computational modeling, and
-
candidate will hold an MD and/or PhD, as part of the UBC requirements. At the rank of the Assistant Professor (tenure track), the successful candidate will have demonstrated evidence of ability in teaching
-
University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago
, 2026. Candidates must have earned a PhD degree in Computer Science or a related area by the time of appointment, or shortly thereafter, with a demonstrated record of excellence in research and teaching
-
Scientists involved in the AC are highly skilled and experienced researchers who will work independently to develop the AI and automation technologies required to build robust and scalable self-driving labs