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with a range of computer systems and applications, including COVIDENCE and statistical software including R. Experience running and performing meta-analyses or network meta-analyses, including statistics
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Context and Motivation Bilevel optimization problems, in which one optimization problem is nested within another, arise in a wide range of machine learning settings. Typical examples include
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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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. 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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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
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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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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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community & inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best people come to do their best work
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community engagement Experience with social media platforms and basic content scheduling tools (e.g., Canva, Buffer, Meta Business Suite) Familiarity with Google Workspace Ability to work independently, meet
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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