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via GitHub repository) in statistical analysis and modelling using R or Python with open source code Experience with high performance computing environments, particularly Digital Alliance Canada
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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
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the market and various industrial partners. Contribute to workshops to present the results and the state of the art in the field to industrial partners and other stakeholders. Qualifications: A PhD degree in a
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Qualifications: PhD in Chemistry Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where
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in live or fixed organisms, cells or tissues - Experience with data analysis in Python, R or similar - Experience working with animal models AND - Experience with mass spectrometry, including sample
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and/or theriogenology. A degree in Veterinary Medicine will be an advantage but not required. Preference will be given to candidates who are within three years of their PhD Experience: To enhance
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Status Reports to the Principal Investigator (Dr. Leluo Guan). Will work with Post-Doctoral Fellows to establish omics data storage, transfer and management, and develop machine learning models
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. Qualifications: Minimum of one year post-PhD experience in a research/academic position or industry position working on development of AI-based solutions for heavy industrial machines. Extensive code-base
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | about 1 hour ago
knowledge to resolve or aid in the resolution of complex scientific and technical problems with students. Qualifications PhD in Physics, Electrical Engineering, or a related discipline. Demonstrable skill in
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quantitative and multimodal analyses (Harley, Cutumisu, Järvenoja). Our partners also contribute a wealth of experiences with diverse learner populations including undergraduate, graduate, and postdoctoral