174 coding-"https:"-"FEMTO-ST"-"L2CM"-"CSIC"-"P" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions in Canada
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requires a substantial amount of lifting, moving, and cleaning of equipment/work area. Subject to some unpleasant odours, dress code, and traffic pattern restrictions. Typical Duties/Accountabilities
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to animal dander, waste, and unpredictability; and requires a substantial amount of lifting, moving, and cleaning of equipment/work area. Subject to some unpleasant odours, dress code, and traffic pattern
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for the research team for data processing and visualization (e.g, including remote sensing, drone satellite data, mapping) o Train other team members in data science skills including coding, statistical analysis
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Python code to High-Performance Computing (HPC) clusters as part of effectively scaling AI/ML model inference. Knowledge and experience of using pre-trained LLMs is a bonus. Working knowledge of different
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information, so it is desirable if the successful candidate has experience in conducting applied research and using results to inform management or policy decisions. The Faculty of Forestry (https
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information, please visit: https://hr.ubc.ca/working-ubc . Candidates who bring diverse perspectives and lived experiences are encouraged to apply as we strive to enhance the diversity, inclusiveness, socio
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are diverse in their expertise and undertake research with a wide range of themes. More information about the Faculty can be found on its website at https://management.ok.ubc.ca/ . Incomplete applications will
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with all applicable codes, regulations, and University of Saskatchewan standards Contribute to a long-term strategy of reliability-centered maintenance by identifying trends, recurring issues, and
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application outlining the applicant’s research interests; A detailed curriculum vitae; A cover letter Contact information for referees Applications should be submitted online at https://ubc.wd10
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Specialist to engage in the development of online data sharing solutions, notably the Bento Platform (https://github.com/bento-platform ), which supports the Pan-Canadian Genome Library (https