544 postdoc-in-distributed-systems-and-controls uni jobs at Monash University in Australia
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The Opportunity Only Indigenous Australians are eligible to apply as this position is exempt under the Measure Provision, Section 12 (1) of the Equal Opportunity Act 2011 (Vic) Are you organised, proactive and
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an inclusive and respectful workplace culture where everyone is supported to succeed. Learn more about Monash . Join the pursuit of our purpose to build a better future for ourselves and our communities
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in doing it well. Whether your background is in public health, social science, urban planning or project coordination –what really sets you apart is your willingness to get involved, learn quickly, and
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largest and most international university Critical role in fulfilling ambition and advancing priorities Drive excellence and achieve lasting impact About the organisation With a footprint that extends
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diversity , and welcome and celebrate everyone's contributions, lived experience and expertise. That’s why we champion an inclusive and respectful workplace culture where everyone is supported to succeed
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Remuneration: A competitive remuneration package will apply Monash University is exploring recruitment in the dynamic and critical field of Health and Climate and invites expressions of interest for two key
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- and the people who discover them The Opportunity Monash University is excited to announce a prestigious opportunity for an exceptional academic to shape the next frontier of theoretical quantum
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The brain is a complex system and monitoring and imaging methods to observe critical neurophysiological variables underlying brain function are limited. This project works at the intersection
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Federated learning (FL) is an emerging machine learning paradium to enable distributed clients (e.g., mobile devices) to jointly train a machine learning model without pooling their raw data into a
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environment. The virtual world runs a little like a computer game, except there are no human players, all the components of the game are computer-controlled by algorithms parameterised from real insect