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cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research scientists. Based across King’s Denmark Hill
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to create creative assets for social media campaigns across linked In, Meta and YouTube. Review performance metrics monthly/by campaign and recommend content or structural adjustments via A/B message testing
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member of Mila – the Quebec Institute for Artificial Intelligence. McGill and Mila offer opportunities for interaction with world-class researchers in machine learning, statistics, and mathematics
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of the benefits that you are eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following
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, lognormal, Cox, mixed-effects, GEE, penalized), propensity score matching, meta-analysis, and machine learning methods. Bioinformatic Analysis (Advanced): Experienced in gene differential expression analysis
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. Ability to quickly learn and adapt to enterprise systems, software and tools. Excellent communications skills and time management. Ability to follow policies and procedures for Chapman University and the
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with specialized meta-analytic tools is strongly preferred. Background check required. Position contingent on funding. Working Conditions Office, Library, Computer Room. Physical Effort Typically
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nominated to become a core member of Mila – the Quebec Institute for Artificial Intelligence. McGill and Mila offer opportunities for interaction with world-class researchers in machine learning, statistics
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deadlines Computer literacy and ease with learning new software programs Proven experience using MS Office programs (including Word, Excel, and Outlook) Assets: Previous experience as a research assistant in
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addition, recognizes and reports security of physical and electronic data vulnerabilities. Knowledgable about requirements for depositing data and following repository and meta-data specifications for data