63 parallel-processing Fellowship positions at University of British Columbia in Canada
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of data processing. Salary will be commensurate with qualifications and experience. The period of funding is 2-3 years, with 3 years being preferred given the complexity of the work involved. The expected
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analytical tools and high-performance computing resources through the AWS cloud system and the UBC High Performance Computing Cluster, enabling efficient analysis at all stages of data processing. The period
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of consumers in research, both in their inclusion in grant applications and the peer review process. Applicants should consider this in their submission and are strongly encouraged to integrate input from
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appointment will be for one year commencing July 1, 2025 with a possibility for extension, subject to satisfactory performance and funding. Application Process: Interested applicants should submit a CV and
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welcomes and encourages applications from people with disabilities. Accommodations are available on request for all candidates taking part in all aspects of the selection process. For academic questions
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appointment will be for one year commencing July 1, 2025 with a possibility for extension, subject to satisfactory performance and funding. Application Process: Interested applicants should submit a CV and
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instrumentation Collaborate with the clinical team to develop protocols for biospecimen sample timing, collection, and processing to support clinical study design Review analytical data and prepare protocols
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(SAS and SQL and occasionally STATA and R); • Demonstrated knowledge of research processes, systematic reviews, and syntheses; • Education/training and experience in quantitative research methods
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of research processes, systematic reviews, and syntheses; • Education/training and experience in quantitative research methods, and multivariate statistical analysis; • Excellent communication skills
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, method transfer, and routine analysis using LC-MS/MS instrumentation Collaborate with the clinical team to develop protocols for biospecimen sample timing, collection, and processing to support clinical