20 phd-position-in-data-modeling Fellowship positions at University of British Columbia
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with leading academic institutions and biotech partners at the intersection of AI and regenerative medicine. Work with unique multi-scale data from human thymic tissue, engineered in vitro models, and
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Are you a Canadian PhD student with expertise on China interested in bridging academia and foreign policy? Department: Global Affairs Canada - Centre of China Policy Research and Coherence - OPR
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embrace the complexity of digital health implementation and data-driven predictive modelling in low-resource settings with passion, resilience, and lots of creativity. Find yourself in new areas of inquiry
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will be accepted until 11:59 PM on the Posting End Date. Job End Date May 31, 2027 The expected salary for this position is $60,000 per annum, though is negotiable based on experience. The Faculty
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PostDoctoral Research Fellow and PHD positions - Global Pediatric Digital Health (Child Health, Epidemiology, data science, and/or digital health) SUMMARY We are seeking applications for a 2
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publications Contact information for 3 referees Applications should be submitted online at https://ubc.wd10.myworkdayjobs.com/ubcfacultyjobs Should you have any queries around this position, please contact our
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are requested to submit a cover letter, an up-to-date CV, and contact information for three references. Review of applications will begin upon receipt and will continue until the position is filled. Start date is
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are requested to submit a cover letter, an up-to-date CV, and contact information for three references. Review of applications will begin upon receipt and will continue until the position is filled. Start date is
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, spatial modeling, and/or remote sensing is desirable. Proficiency in GIS, R, and/or Python for data analysis, modeling, and spatial analysis is also desirable Excellent written and verbal communication
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evaluation. We are looking for an individual with a desire to embrace the complexity of digital health implementation and data-driven predictive modelling in low-resource settings with passion, resilience, and