411 computer-security-"https:"-"https:"-"https:"-"UCL" positions at Monash University
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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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of all pre-employment and/or background checks required for the role, as determined by the University. Enquiries: Dr Louise Devenish, Graduate Research Program Director | Percussion Coordinator, +61 3 9905
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science to improve health outcomes for women and their families in public healthcare settings. Your PhD research will form part of a wider research program focused on implementing lifestyle improvement
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. The successful candidate will have: Expertise in astrophysical radiative transfer and computational fluid dynamics Demonstrated expertise in the theory and phenomenology of supernova explosions Experience in
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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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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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• 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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able to demonstrate present and current Australian work rights Have an undergraduate or post graduate qualification in Epidemiology, Computer Science, or Biostatistics, or have a public health, clinical
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My research focusses on understanding stars: their evolution and chemical composition, and how they move throughout our galaxy. Most of what we know about the universe comes from starlight, but the detailed interaction between matter and light in the extreme conditions of stellar interiors is...
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and