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Field
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simulation software development. Investigate scientific or technological areas of interest under guidance of a Mentor. Learn program management processes and help the Government guide research investments
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University of British Columbia Department of Surgery | Northern British Columbia Fort Nelson, British Columbia | Canada | 2 months ago
biology; Translational immunology Treg biology Excellent organization skills, along with an outstanding level of accuracy and attention to detail. Computer experience required (word processing, spreadsheet
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managing diabetes using computer simulation models. Learning Objectives: You will learn: How to synthesize and translate empirical evidence on cost-effectiveness of interventions for the prevention and
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scalable software and algorithms for genomic inference Collaborate with researchers across statistics, genetics, and computational biology Contribute to manuscripts, presentations, and open-source software
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and will collaborate within a multidisciplinary research environment. The training program focuses on building technical expertise, methodological rigor, and an understanding of regulatory science
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Demonstrated experience developing data-analysis pipelines, software tools, workflows or computational resources that are documented and usable by others Substantial experience in the analysis of high
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) may also be considered. • Experience or strong interest in rechargeable battery research, particularly sodium or other metal-ion batteries. • Familiarity with computational materials science
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data sets. As the field of clinical computational oncology evolves, this position is likely to present diverse and flexible opportunities - from deeper and more complex software design problems
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to lead methodological innovation, software architecture engineering, and scientific execution across its active grant portfolio. Working under the direct mentorship of Dr. Hongfang Liu and lab faculty
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approaches (e.g., using R, NetLogo, or similar) Working knowledge of ecological (especially landscape ecology) research methodology and biostatistics Computer proficiency, including use of statistical software