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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Scientific Eng., Level A Job Title Research Machine Learning Software Developer Department Bashashati Laboratory | School
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Council of Canada). The research will focus on applying, developing, and implementing novel statistical methods for causal inference, integrative data analysis, and machine learning with large
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language processing (NLP) and machine learning to improve the psychosocial health of patients and enhance care provided by clinicians. Organizational Status The Junior NLP Data Scientist receives direct direction and
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biology and pathology artificial intelligence team at the University of British Columbia’s (UBC) SBME, seeks a motivated Software and AI Research Assistant with experience in machine learning and medical
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End Date Ongoing At UBC, we believe 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
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have a background in qualitative research and community engagement. An interest in patient engagement and participatory action is a benefit, and either experience in, or interest in learning mixed
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to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 12 days ago
Analysis), CPSC_V 340 (Machine Learning and Data Mining), CPSC_V 416 (Distributed Systems), CPSC_V 425 (Computer Vision), CPSC_V 427 (Video Game Programming), CPSC_V 436C (Cloud Computing) and APSC_V 160
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effectively independently and in a team environment. Ability to learn new computer programs and use computers effectively. Ability to exercise tact and discretion. Ability to gather, record, and organize
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relevant to diverse datasets. Experience with genomics, multiomics, big data and machine learning an asset. Is willing to learn new techniques and novel analysis methods for application. Skills in R required