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at least one LLM framework or API (Hugging Face, llama.cpp) Have solid software-engineering and version-control (Git) practice To be successful at shortlisting stage, please ensure you clearly evidence in
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written form Familiarity with Google Workspace, including competency with spreadsheets Ability to work independently Record of timely task completion BA/BS or combination of related education and work
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newly released Core Competencies for Public Health in Canada. The successful candidate will conduct a systematic analysis of the competencies and assist with mapping the MScPH program research and
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and events Our research International study Our faculties and schools About the university Planning and statistics Read our site map A full site map of our website is available online, and may help you
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measurements and additional data. Specifically, the project’s objective is to develop a data-driven method that maps satellite-derived data to ground-level concentrations for air pollutants such as NO2 (nitrogen
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maps, service model maps, journey maps, influence diagrams, and synthesis frameworks. Scholarly Research, Dissemination & Technology Exploration (15%) Assist with literature reviews related to food
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includes qualitative research methods Technical skills related to the use of Google workspace; Otter.ai or other transcription tool; and digital tools to manage data (including password protected drives
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programs preferred). Experience working with Census datasets, and/or GIS mapping tools is a plus. Experience with writing for academic, industry, or policy audiences is also a plus. Additional Qualifications
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skills in English; demonstrated ability to search scholarly databases (for example, ERIC, PsycINFO, Web of Science, Google Scholar) and to manage references with a citation manager; proficiency with
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measurements and additional data. Specifically, the project’s objective is to develop a data-driven method that maps satellite-derived data to ground-level concentrations for air pollutants such as NO2 (nitrogen