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Education PhD Scholarship 2024 - Teachers and Teaching in the Age of AI Job No.: 666578 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment Remuneration
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- Research Associate A PhD (or soon to be awarded) in a related discipline, and/or relevant work experience. Demonstrated track record in research, evidenced by publications in top-tier AI and ML conferences
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), psychophysical methods, computational neuroscience methods, machine learning and modelling. Our studies utilise various haptic devices, and mechanical and electrical stimulators. Key skills required: PhD
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teaching and research, fuelling a passion for learning and innovation. Who You Are: Our ideal candidate will have: A PhD in electrical engineering or a related discipline. A profound understanding of