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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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would be a plus) Experience in statistics/computer vision/machine learning/robotics Outstanding academic output documented via journal/conference publications in the relevant fields Ability to program
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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
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develop a concrete cryptographic algorithm. Although desired, background in advanced cryptography is not a must. It is also a plus to have some programming experience. Implementation of a PET algorithm