57 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Fellowship research jobs at University of British Columbia
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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
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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
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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
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managing cardiovascular disease by integrating genomic and -omic data, echocardiographic imaging, and clinical information. This position will support the MOSAIC Study, a newly funded, multi-site provincial
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facilitate access to relevant data, contacts, and organizations. Through their mentors, Fellows are affiliated with an institution — whether a university, think tank, health care organization, or government
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. 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
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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
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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
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. “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
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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