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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
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. The position is full-time for one year with the possibility of extension subject to work performance, funding availability and compliance with UBC policies. Salary will be commensurate with qualifications and
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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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Areas: Physics / Artificial Intelligence , Astronomy , Astronomy and Astrophysics , Astroparticle Physics , astrophysics , Astrophysics (astro-ph) , Astrophysics Computational , Astrophysics Experiment
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the Canadian Pediatric Cancer Consortium (otherwise called ACCESS), we are seeking highly skilled and passionate Postdoctoral Fellows. You will develop and lead a research project focusing on high-grade
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. This role focuses on developing and applying AI and deep learning techniques for analyzing high-dimensional omics data, identifying predictive biomarkers, and understanding cancer heterogeneity. Projects
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the acquired data, and prepare a report; c) Prepare a CFD model of a boiler burner for combustion analysis, apply reacting flow models, perform computation, study propensity to flash-back, calculate noise
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, enabled through digital health technologies in Africa (Kenya, Uganda + more). The Trainee will be working on a program with over 15+ years (Smart Discharges Child, Smart Discharges Mom&Baby, Smart Triage
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Researcher (R2) Country Canada Application Deadline 1 Sep 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not
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current and emerging issues of work-related health in Canada. Our program of research is aimed at improving our understanding of the causes and consequences of injuries and illness, identifying high-risk