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desirable. Proficient in Python, R, and ML libraries such as PyTorch or TensorFlow. Strong communication and collaboration skills; ability to work independently and as part of a team. Willingness to respect
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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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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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reports from a large clinical dataset Using statistical analysis packages (e.g., SAS, R, SQL) to analyze large healthcare administrative datasets Participating in quantitative study design and
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clinical dataset Using statistical analysis packages (e.g., SAS, R, SQL) to analyze large healthcare administrative datasets Participating in quantitative study design and interpretation of results Writing
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-motivated and independent work skills Ability to work as part of a team. Preference will be given to applicants with intermediate or advanced computer skills in the following software packages: R, Stata
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to work as part of a team. Preference will be given to applicants with intermediate or advanced computer skills in the following software packages: R, Stata or SAS (quantitative data analysis software), MS
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 10 hours 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
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, STATA or R In-depth knowledge of research methodologies, systematic reviews, and syntheses Formal education/training in quantitative research methods and statistical analysis Excellent written and verbal