641 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions at Monash University
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As humans we have the ability, and even the necessity of distinguishing between orders that are ethical, safe and necessary and orders that may be harmful or unethical. Theoretically this ability should exist in robots. To coin Assimov’s second law “A robot must obey orders given by human beings...
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to the care of marginalised people. Total scholarship value Up to $30,000 Number offered 1 per year See details Bachelor of Medical Science and Doctor of Medicine Imogen This scholarship has contributed to my
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expertise in evidence synthesis, clinical epidemiology, public health, or a related discipline. Experience in systematic reviews, guideline development, or implementation science will be highly regarded, as
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and evaluate our approaches on a range of computational sustainability case studies from the domain of conservation of biodiversity, natural resource management and behavioural ecology. Relevant
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representations complicate transparency and compliance checks with data protection and privacy legislation (e.g., GDPR) whether performed by humans or computer systems. Second, both privacy-preserving distributed
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Doctorate and Research Masters degrees. For further information refer to Monash Indigenous Research Scholarships . These top-up scholarships help support students with living costs and are awarded in
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principles and safe work practices. High-level computer literacy and the ability to quickly learn and adapt to new systems. About Monash University At Monash , work feels different. There’s a sense of
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their skills and further their involvement in the broader local community. Total scholarship value Up to $18 000 Number offered Three at any one time See details Bachelor of Medical Science and Doctor
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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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of Machine Learning (ML) models across large-scale distributed systems. Leveraging advanced AI and distributed computing strategies, this project focuses on deploying ML models on real-world distributed