426 computer-programmer-"https:"-"FEMTO-ST"-"U" "https:" "https:" "https:" "https:" "https:" "Dr" "P" positions at Monash University
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the program. Working at both strategic and operational levels, the position manages technical programs, resources and risk, contributes to planning and budgeting and provides authoritative technical advice and
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Candidates should hold a previous degree (Bachelor’s and/or Master’s) in Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering, with demonstrated knowledge in machine
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D.L. Dowe (1994b), Intrinsic classification by MML - the Snob program. Proc. 7th Australian Joint Conf. on Artificial Intelligence, UNE, Armidale, Australia, November 1994, pp37-44 Wallace, C.S. and D.L
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• enhancing nutrition and protecting the microbiome • improving symptom control and psychological wellbeing As the Project Manager, you will support the end to end delivery of this ambitious research program
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in a relevant discipline Demonstrated excellence in education program design, delivery and innovation A strong publication record in education or allied health‑related research Experience leading
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collaborative team at Monash Rural Health Rural Health Placements Officer role supporting student placements across the MD program The Opportunity The Rural Health Placements Officer offers an exciting
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to cultivate relationships with Monash University’s most generous and transformative donors, building a strategic program focused on securing and stewarding philanthropic gifts in excess of $5 million. This
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immersive and educative programs and initiatives within Parbinata, ensuring culturally grounded program design, sustainability and long-term impact. Oversee the end-to-end design, and delivery of significant
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Goal Recognition is the task of inferring the goal of an agent from their action logs. Goal Recognition assumes these logs are collected by an independent process that is not controlled by the observer. Active Goal Recognition extends Goal Recognition by also assigning the data collection task...
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch