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in practical applications. We are particularly interested in individuals who have: Strong background at least two of the following areas: machine learning, natural language processing, large language
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learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary conditions for a
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of working About You We are seeking a highly motivated and skilled PhD graduate with expertise in biophotonics, optical engineering, or physics to join our dynamic multidisciplinary team as a Research
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. Preferred Qualifications Ability to work independently and manage multiple tasks, detail oriented, self-motivated, strong interpersonal skills. Ability to use personal computer; proficiency in Microsoft Word
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that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps
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repositories (e.g. GitHub), and contributing to dissemination activities and publications. We are seeking candidates with a postgraduate qualification (MSc/PhD) in Computational Chemistry, Theoretical Chemistry
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: signal processing, advanced data analysis, statistics, and machine learning – Experience in safe laboratory procedures. Effective verbal and written communication skills. Laboratory experience
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that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps
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the School if an offer of a place is made. For PhD students applying to the School of Life Sciences, all CONACyT scholarship holders receive an additional scholarship from the School where tuition fees
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hourly position of about 6 - 12 hours a week. At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning