422 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "P" "U.S" positions at Monash University
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to effectively lead in complex and largescale universities. You will have a proven track record of academic operational leadership beyond your own research program, expertly steering strategy, projects, resources
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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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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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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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program (or ability to foster research collaboration) is considered along with records of achievement. Those with joint Monash-Museums Victoria supervision will be highly regarded. To retain
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that occurs within these biological neural networks, so that these networks can be leveraged for AI applications. In addition, you will develop mathematical and computational neuroscience models
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/scholarships/scholarship-policy-and-procedures The Opportunity This PhD scholarship forms part of a collaborative research program on digital transformation, data practices, and everyday life in Indonesia
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background mathematical knowledge, including differential calculus (e.g., partial derivatives) and matrix determinants. The student should also know how to program with either Matlab, Java, or Python. Ideally
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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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. 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