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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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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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reviews, organizing project advisory team meetings, collecting data and conducting data analyses, drafting manuscripts and technical reports, and delivering conference presentations. In addition
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writing. The names and contact information of at least two referees must also be provided. A review of applications will begin on January 9, 2026, and continue until the position is filled. For more
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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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University of Northern British Columbia | Prince George North, British Columbia | Canada | 5 days ago
interests in either partial differential equations (PDE) or number theory. Both positions are two-year positions, with renewal for the second year subject to satisfactory performance. For information
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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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generating unbiased, systematic data can give new and unexpected insights into biology. That has been at the core of our work ranging from genome-scale RNAi screens to systematic mapping of genetic
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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