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, privacy-preserving technologies, adversarial machine learning, explainable AI, or secure software engineering. Collaborate and Translate: Work within a supportive team, present findings at national and
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computer science, information technology, artificial intelligence, machine learning, software engineering, computer/electrical engineering, or a closely related discipline. This PhD project is part of a
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platform data, and contributing to high-quality academic and policy outputs. The role provides an opportunity to work at the intersection of economics, agricultural markets and digital technology, with
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PhD Scholarship - Global Health Economics Job no.: 695403 Location: Caulfield campus (Centre for Health Economics, Monash University, Melbourne, Australia) Duration: 4.5-year fixed term appointment
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our world-class facility. This isn’t just a lab role. This is a pivotal position where you will act as a scientific consultant, an innovative method-developer, and a key research driver. You will work
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enable us to better understand deformation - with a view to anticipation, remedy and possibly prevention. The PhD project is a collaboration between the Faculties of IT and Engineering with the student
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ecosystem interactions. If used wisely for decision-support, these technologies can help select and implement effective policies. This PhD project, jointly offered by Monash University (Australia) and