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website at https://hr.ubc.ca/health-and-wellbeing/workplace-accessibility/centre-workplace-accessibility or contact the Centre at [email protected]. Job applicants requiring confidential
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information and support, please visit UBC’s Center for Workplace Accessibility website at https://hr.ubc.ca/health-and-wellbeing/workplace-accessibility/centre-workplace-accessibility or contact the Centre
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For Workplace Accessibility website at https://hr.ubc.ca/health-and-wellbeing/working-injury-illness-or-disability/centre-workplace-accessibility or contact the Centre at [email protected]
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and local, national and international collaborators. Required qualifications Education: PhD in computer science, engineering, mathematics/statistics, computational neuroscience or a related quantitative
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Accessibility website at https://hr.ubc.ca/health-and-wellbeing/workplace-accessibility/centre-workplace-accessibility or contact the Centre at [email protected] . Job applicants requiring
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Lab for Computational Mental Health & Cancer Care at UBC and BC Cancer (nunezlab.ca). Dr. Nunez's lab focuses on the application of artificial intelligence in mental health and cancer care, and the
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. Experience developing, curating, designing, or coding innovations, or participating in digital health initiatives. Experience with programming languages, machine learning, or health informatics would be
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Interventional Sciences. Preferably Students in Public Health, Epidemiology, Experimental Medicine, Computer Science, or a related field are also eligible. Graduate-level training in biostatistics, epidemiology
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working at the intersection of uterine health, gynecologic oncology, computational biology, clinical informatics, and artificial intelligence. The lab develops and applies innovative data science and AI
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to the instructor. Qualifications: Current MSc or PhD students, particularly those in Surgical and Interventional Sciences. Students in Public Health, Epidemiology, Experimental Medicine, Computer Science, or a