25 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab" Fellowship positions at University of British Columbia
Sort by
Refine Your Search
-
response to the ongoing substance use crisis. The ideal candidate will have a passion for integrating multiple sources of quantitative data and a drive to explore new areas of inquiry critical
-
digital platforms (such as computers, smartphones, tablets and wearables etc.) to improve the health and wellbeing of citizens. Data-Enabled Health Transformation - the creation, amalgamation, analysis, and
-
and applied research in one or more of the following areas: collaborative robotics, manipulator robots, compliant robotics, human-robot interaction, computer vision, artificial audition, signal
-
enhance provincial capacity to tailor care approaches in response to the ongoing substance use crisis. The ideal candidate will have a passion for integrating multiple sources of quantitative data and a
-
engagement, and educational activities to explore how modern information and communication technologies (e.g. mobile and web-based applications, sensors, wearables, AI/ML etc.) can improve health care. Digital
-
. Vancouver offers a vibrant research community and a high quality of life. Candidate: We are seeking a postdoctoral fellow with strong experience in electrophysiology/biophysics and relevant data and
-
in communities, research design, and policy in this urgent time of environmental change. More information on the larger project can be found here . The candidate will work under the supervision of Dr
-
their publication record and research statement. Preferred skills will include data science methods such as high performance computation, data management skills, and programming in R. Individuals also must be within
-
. “With this competition, we are enabling applicants to provide information about what they have done that isn’t necessarily captured as part of traditional academic metrics.” It seeks applicants who engage
-
to write and communicate clearly Preferred Qualifications Experience with high performance computer clusters Experience with the analysis of large datasets Good understanding of immunology Any kind