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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
modelling from Project 1, we will conduct focus groups and interviews with communities in high- and low-risk zones to capture local knowledge, behaviours, and risk perceptions related to AMR. In parallel
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, air bubbles) management of changes in AI model types and performance over time challenges in managing data volumes (especially given the 3D format), and impacts related to digital slide and storage
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, air bubbles) management of changes in AI model types and performance over time challenges in managing data volumes (especially given the 3D format), and impacts related to digital slide and storage
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Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering , with demonstrated knowledge in machine learning, algorithms, and programming. Prior exposure to reinforcement learning
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Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering , with demonstrated knowledge in machine learning, algorithms, and programming. Prior exposure to reinforcement learning
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. Required knowledge Strong background in computer science in general Familiarity and understanding of basic principles underlying automated reasoning and robotics C/C++ programming and knowledge Python
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. Required knowledge Strong background in computer science in general Familiarity and understanding of basic principles underlying automated reasoning and robotics C/C++ programming and knowledge Python
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reasoning and optimisation technology Understanding of the operation modern machine learning (ML) models C/C++ programming and knowledge of efficient data structures Python programming Familiarity
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reasoning and optimisation technology Understanding of the operation modern machine learning (ML) models C/C++ programming and knowledge of efficient data structures Python programming Familiarity
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Statutory Declaration form to the William Cooper Institute. This can be emailed to [email protected]. If you have any queries please contact the William Cooper Institute on 9902 4972. Benefits $6000 per