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data. Proficiency in ML frameworks (experience with LLavaMed, EchoPrime and DNABERT considered an asset) and programming languages such as Python or R. Experience working with medical imaging or genomic
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marine ecosystems preferred Experience conducting field work is an asset (but not required). Required experience with statistical analysis in R. Project advising team: UBC PI - Dr. Chris Harley https
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communicate effectively, both verbally and in writing Must be proficient with Microsoft operating systems, Excel, Access, Word Demonstrated ability to use statistical software including SAS and R Ability
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strong asset. Experience independently writing and publishing scientific manuscripts. Strong experience in programming (particularly in python/R). Experience with analysis of genomics data (particularly in
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or process optimization; and Experience in data collection, analysis, and processing. Assets: Experience using Python or another scientific programming language (e.g., MATLAB, R, Julia); Experience with
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on July 29, 2025:https://forms.office.com/r/695ZQxJt9G --- Applicants Must: Demonstrate: academic excellence and leadership in the research domain, high potential for success in their chosen fields, strong
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flight data analysis, simulation, detector development, and R&D studies. The postdoctoral researcher will be expected to work closely with local graduate and undergraduate students. LEMMA is participating
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author publication(s) in journals relevant in your field and/or shared as preprints Strong statistical foundation and expertise in R or python for data analysis Fluent in written and spoken English and
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
or intervention research. Experience with both qualitative and quantitative data collection. Experience using qualitative (e.g., NVivo or Dedoose) and quantitative analytic software (e.g., Stata or R
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). Minimum of two years related experience. • Demonstrated skills in data management and programming using statistical packages (SAS and SQL and occasionally STATA and R); • Demonstrated knowledge