129 phd-computer-science-"IMPRS-ML"-"IMPRS-ML" Fellowship positions at University of British Columbia in Canada
Sort by
Refine Your Search
-
medical physics, computer science, biomedical engineering, electrical engineering, applied mathematics, or a related field; or an MD with significant research experience and deep familiarity with AI
-
Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow Department Ellis,Naoko | Department of Chemical and Biological Engineering | Faculty of Applied Science Posting End Date
-
Engineering | Faculty of Applied Science Compensation Range See details below. Posting End Date August 26, 2025 Note: Applications will be accepted until 11:59 PM on the Posting End Date. Job End Date August 31
-
Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow Department Ellis,Naoko | Department of Chemical and Biological Engineering | Faculty of Applied Science (Naoko
-
imaging QUALIFICATIONS Successful applicants will have: a PhD in medical physics, computer science, biomedical engineering, electrical engineering, applied mathematics, or a related field; or an MD with
-
to start doctoral studies in Chemistry, Physics, Electrical Engineering or Computer Science. Fellowships will initially be for one year, but may be extended for a second year. Eligibility Applicants
-
Update: The 2023-24 call for fellows is on hold until further notice. The Mitacs Canadian Science Policy Fellowship places PhD holders in government host offices for a 12-month immersion into
-
Applications are invited for a two-year postdoctoral fellowship supported by the collaborative research and training program Pacific Rim Ocean Data Mobilization and Technology (PRODIGY) and the
-
. The candidate should be independent and have the ability to develop and pursue new, creative research ideas. The position is funded through the NSERC Discovery Grants program. Qualifications PhD and related
-
The Data Sciences Institute (DSI) is a central hub and incubator for data science research, training, and partnerships at the University of Toronto. Its goal is to accelerate the impact of data