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staff members promptly receive the accommodation they need to do their job and we understand the importance of work/life balance. NRC Herzberg is a leading developer of instrumentation for Canada’s
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. Strong competence in programming with C/C++ or Fortran for model development & debugging. Competence in software engineering best practices such as unit testing, use of modern version control systems
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; Experience in mentoring or supervision. Condition of employment Reliability Status For a Reliability Status, verification of background information over a period of 5 years is required. Language requirements
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 16 hours ago
implementation science, health services research, survey research, epidemiologic methods, or measurement development. Experience with REDCap, NVivo, and/or quantitative or statistical analysis software. Experience
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fellow will join a team composed of data scientists, software engineers, and medical trainees. This position is anticipated to be partly funded through a Mitacs Elevate grant. Project Context SOZO
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supervising of trainees Providing other support as required by the research team The PDF will be supervised by Dr. Matthew Mitchell, who leads the Mitchell Multifunctional Landscape Lab (https
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Experience with ocnfocal microscopy, high-content imaging,live-cell imaging. Three-dimensional image reconstruction and quantitative image analysis using Fiji/ImageJ, CellProfiler, Imaris, or related software
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University of British Columbia Department of Surgery | Northern British Columbia Fort Nelson, British Columbia | Canada | about 2 months ago
and data analysis software preferred). Ability to exercise tact, discretion and confidentiality. Ability to contribute to a respectful, cooperative and supportive work environment. Ability to work both
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advanced biostatistics Computer proficiency, including use of statistical software for spatial analyses, such as ArcGIS, QGIS, R, Google Earth Engine Experience assembling, organizing, and analysing large
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systems Working knowledge of ecological (especially landscape ecology) research methodology and advanced biostatistics Computer proficiency, including use of statistical software for spatial analyses