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selected as one of Canada’s Best Diversity Employers and a Greater Toronto’s Top Employer for 2015, 2016, 2017 and 2018. To learn more about our work environment, colleagues, leaders, students and innovative
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this will include: Demonstrated expertise in data analysis and simulation Familiarity with C++; and proficiency in the use of ROOT and Geant4, and interest in machine learning techniques Knowledge
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are working towards a people first culture and are proud to have been selected as one of Canada’s Best Diversity Employers and a Greater Toronto’s Top Employer for 2015, 2016, 2017 and 2018. To learn more about
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applications related to this field Training new students on essential laboratory skills Qualifications: PhD in Chemistry Before applying, please note that to work at McGill University, you must be both
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. Leadership & Learning: Building the next generation of crisis leaders through our Pandemic Fellows Program and global network. Convening & Collaboration: Creating space for interdisciplinary exchange through
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 6 days ago
-to-optical devices. Disseminate research in journal papers and at conferences. Fostering learning Provide scientific advice and mentoring to students. Attend relevant conferences and workshops to collect
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first author publications in reputable peer-reviewed journals Advanced quantitative skills (e.g., advanced stats [MLM], machine learning, data mining). Willingness to develop desired skills (see directly
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 10 hours ago
hold a PhD degree within a relevant field. - The PhD degree should not be older than three years. - The applicant must not have been employed at Lund University in the past two years. - Practical
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Pacific Institute for the Mathematical Sciences | Northern British Columbia Fort Nelson, British Columbia | Canada | about 1 month ago
discretizations and/or machine learning methods. The ideal candidate should have a strong background in numerical analysis, scientific computing, and/or scientific machine learning. We are particularly interested
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. Hadi Fariborzi), you will design, implement, and validate a standardized library of constructs and measures; work closely with our PhD RAs and undergraduates; and ensure seamless deployment in