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qualitative software (such as NVivo) to manage and code data Apply knowledge in a way that develops new understanding of dementia care delivery Support co-design activities with stakeholders in community-based
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Elhoseiny, Code: https://github.com/yli1/CLCL Uncertainty-guided Continual Learning with Bayesian Neural Networks (ICLR’20), Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach, Code: https
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learning technologies. The CNS’s ongoing projects focus on virtual humans and advancing simulation science-based theories and concepts in social and clinical education. Interests in extended reality
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code are transparent, well-documented, reproducible, and openly shared with the scientific community. The role also offers opportunities to contribute to teaching and training activities across
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, Materials Studio, etc.), and general coding (Matlab, Python, etc.). Good written and oral communication skills. Good communication and collaboration skills, and good adaptability for independent work, strict
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code for experiment control, data acquisition, and data analysis. They will be expected to work effectively with Dr. Smith, collaborators, other group members and contribute to the dissemination
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, codes, and calculations with minimum oversight. • Perform simulations to assess various study design options and analysis approaches. • Monitor discretionary spending in a team to ensure that spending is
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ability to write code in Python Experience working in a research team Excellent writing and communication skills, especially for academic papers Desirable criteria Experience working with NHS data or other
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or discouraged. We encourage applications from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender identity
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describe your theory of change (i.e., where your proposed work logically fits into a realistic chain of events you believe will ultimately lead to impact at a given time in the future). Applicant’s