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their performance both empirically and through controlled user studies. Required knowledge Strong background in computer science in general Familiarity and understanding of basic principles underlying automated
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In collaboration with people from Monash materials engineering, neuroscience and biochemistry we are developing living AI networks where neurons in a dish are grown to form biological neural
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We are excited to offer a fully funded PhD position at the Faculty of Engineering, Monash University (Australia). This project focuses on developing new algorithms to equip social robots with
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the application details carefully and submit your application by the deadline. For more information visit our website or contact our Graduate Research Admissions team on E: [email protected] or T: +61 3
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financial, personal, and confidential information. This project seeks to introduce machine learning and artificial intelligence techniques to effectively detect phishing websites. By leveraging these advanced
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drive transformation, operational efficiency, and data-informed decision-making. You will lead a specialist analytics and operations team to deliver high-quality, validated, decision-grade insights and
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. Demonstrated leadership experience with the ability to lead, coach and coordinate teams to achieve operational objectives. Experience managing budgets, financial administration and reporting. High level computer
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an evidence synthesis or implementation science context Why This Role This is a fixed-term, full-time position embedded within one of Australia's most active evidence synthesis groups, located at the Alfred
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to quantify how weathering, erosion, transport, and sedimentation governed carbon budgets throughout the Cenozoic. By bridging landscape evolution theory with carbon sequestration science, the Research Fellow
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PhD Opportunity - Indigenous (Energy) Job No.: 685291 Faculty: Faculty of Information Technology, Monash Business School and Faculty of Engineering Location: Caulfield or Clayton campuses Duration