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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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occurring on a rolling intake. Please apply ASAP and do not wait for the listed job closing date. The Acceleration Consortium received a $200M Canadian First Research Excellence Grant fo r seven years
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expenditures to program budgets, manages all A/P and A/R activities, advises on tax processes, manages general bookkeeping and recommends changes to improve efficiencies. The incumbent ensures accurate
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with molecular biology, scRNAseq/ATACseq, in vivo 2-photon live imaging, and mouse behavior Experience with coding is an asset (e.g., R, Python, MATLAB). Ability to work independently and as part of a
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 3 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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and scripting Experience performing coding in Python and R; Experience and fluency with Office 365 (MS Word, Outlook and PowerPoint) Experience with videoconferencing technology (MS Teams, WebX, Skype
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/Industrial Hygiene/ Occupational Health and Safety/Biosafety (one or more of CRPA(R), CHP, CRSP, PEng, CSSE, CIH/ROH, CBSP) Professional Memberships/Affiliations in one or more of: Canadian Radiation
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directions and research protocols Ability to work both independently and collaboratively with undergraduate students, research participants, and professors High degree of familiarity with SPSS and/or R
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. The under-construction FBIC shall extend the Faculty’s current 3000 sqft Food Processing pilot plant facilities into a new 8250 square-foot facility, equipped with small industrial scale R&D equipment, pre
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knowledge of MS Office suite, with emphasis on MS Access and Excel; knowledge of SQL and/or of the R software is an asset; - Experience working with large datasets; - Great ability to work as a team member