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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 16 hours ago
discipline by the appointment start. Proficiency in both quantitative and qualitative data collection and research methods. Experience using quantitative (e.g., R, SPSS, or Stata) and qualitative analytic
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 16 hours ago
equivalent) completed in the last 5 years in a related field such as epidemiology, biostatistics, health geography · Demonstrated experience with quantitative methods, and ideally analysis using R and related
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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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) Proficiency with tools such as Pix4D, QGIS/ArcGIS, and R or Python Strong writing skills and a track record of peer-reviewed publication Excellent oral and written communication skills in English Interest
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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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team. Skills: Expertise in varying disciplines, with strong proficiency in programming languages such as R, Python or Javascript is required. Experience in big data analytics and deep learning using time
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 15 hours ago
of cardiovascular health and its determinants. · Proficiency in advanced statistical techniques and software (e.g., R, SAS). · A track record of peer-reviewed publications. · Strong time management, organizational
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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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. Experience with field instruments and lab analytical equipment is highly valued. Training and experience with software such as MiniTab, R and ArcGIS. Strong written and verbal communication skills as