76 computer-engineering-"https:" "https:" "https:" "https:" "https:" "OSU" PhD positions at Monash University
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specialised as-needed via fine-tuning or prompt engineering. In this project we will explore all aspects of this process with a focus on increasing trust in the model outputs by reducing or eliminating
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Primary supervisor Raphaël C.-W. Phan Co-supervisors Arghya Pal Sailaja Rajanala Prof Lin Chen [https://scholar.google.com/citations?user=pqe3-BMAAAAJ] Research area Cybersecurity AI is now trending
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-based PhD program, please see: https://sensilab.monash.edu/work-with-us/practice-based-phd/ Project funding Other Learn more about minimum entry requirements .
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Anton Peleg Required knowledge Minimum entry requirements can be found here: https://www.monash.edu/admissions/entry-requirements/minimum A knowledge of mathematics (e.g., calculus, derivatives
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, University Park, 2005. For more information on our practice-based PhD program, please see: https://sensilab.monash.edu/work-with-us/practice-based-phd/ Project funding Other Learn more about minimum entry requirements .
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Other Funding reference https://jobs.csiro.au/job/Sydney%2C-NSW-Data61-PhD-scholarships/900646900/ Learn more about minimum entry requirements .
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Other Funding reference https://jobs.csiro.au/job/Sydney%2C-NSW-Data61-PhD-scholarships/900646900/ Learn more about minimum entry requirements .
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areas of computer science. ML’s versatility stems from the wealth of techniques it offers, making ML seem an excellent tool for any task that involves building a model from data. Nevertheless, ML
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areas of computer science. ML’s versatility stems from the wealth of techniques it offers, making ML seem an excellent tool for any task that involves building a model from data. Nevertheless, ML
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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