83 algorithm-development-"Prof"-"Prof" Fellowship positions at University of British Columbia
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. The candidate should be independent and have the ability to develop and pursue new, creative research ideas. The position is funded through the NSERC Discovery Grants program. Qualifications PhD and related
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with strong background in Computer Vision and Machine Learning. Position Overview: In this position, you will investigate the existing solutions for assessing datasets and developing a novel tool relying
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are assisting with data analysis, writing, and additional research projects - Contribute to developing grant applications - Participate in guiding additional projects based on findings from quantitative analyses
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States conducting internationally comparative research with mentorship from leading U.S. experts. Alongside their research, Fellows engage in a series of leadership development activities, gain an in-depth
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to developing grant applications Participate in guiding additional projects based on findings from quantitative analyses Writing, presentations, website content, and contribute to creation of infographics
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, chronoamperometry, half-cell measurements); iv) be able to analyze and interpret experimental data using various data analysis software (e.g., Excel, Python and Origin); vi) develop new testing procedures and
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join a dynamic and multidisciplinary team under the co-supervision of Dr. Anna Blakney and Dr. Jay Kizhakkedathu. The successful candidate will work on a project developing new lipid and polymeric
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dynamic and multidisciplinary team under the co-supervision of Dr. Anna Blakney and Dr. Jay Kizhakkedathu. The successful candidate will work on a project developing new lipid and polymeric strategies
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to study design, data collection, analysis, and the development of interventions aimed at reducing sleep disparities. Key Responsibilities: Conducting and analyzing research on sleep health equity Leading
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health and access to sleep-related resources. The successful candidate will contribute to study design, data collection, analysis, and the development of interventions aimed at reducing sleep disparities