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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 1 month ago
provide their CV (2 page max), a Cover Letter (1 page max), and statements outlining: A description of previous research experience (1 page max) A statement of research interests The names and contact
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, applicants must provide their CV (2 page max), a Cover Letter (1 page max), and statements outlining: A description of previous research experience (1 page max) A statement of research interests The names and
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, applicants must provide their CV (2 page max), a Cover Letter (1 page max), and statements outlining: A description of previous research experience (1 page max) A statement of research interests The names and
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-quality manuscripts and technical reports disseminate research outcomes through publications and presentations. About you The University values courage and creativity; openness and engagement; inclusion and
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University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are
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produce software implementations of the algorithms developed in this project. About you The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and
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scientific conferences. About you The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent
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. About you The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned
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environments investigate system-level mechanisms, including stability, path dependence, lock-in, and performance or creativity degradation in socio-technical decision processes design and implement quantitative
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-in, and performance or creativity degradation in socio-technical decision processes design and implement quantitative methods (for example, learning-based, network-based, or agent-based approaches