86 security-"https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at Monash University
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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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of accomplishment in developing and executing fundraising strategies within a large and complex organisation, with a strong record of securing significant funding from foundations and private donors in
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also contribute to continuous improvement initiatives, ensure compliance with privacy and safety requirements, and support the School’s risk management and operational objectives. As the successful
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Agentic AI. We are looking for candidates whose research focus is on the development of intelligent agent frameworks incorporating planning, memory, tool use, safety and evaluation methodologies, and neuro
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provide high-quality operational and administrative support, oversee service contracts, ensure compliance with quality and safety standards, and contribute to continuous improvement initiatives. This is an
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discover them The Opportunity The Department of Econometrics and Business Statistics (EBS) is seeking applications from suitably qualified Sessional Staff for engagement into secure modes of employment via
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the workplace, affecting workers’ mental health, financial security, family relationships, and children’s long-term outcomes. Yet, despite the rising frequency of economic shocks – from natural disasters and
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in International Trade Law, Taxation Law, or Technology Law. You will demonstrate success in securing external research funding, along with proven experience supervising postgraduate research students
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, conferences, or equivalent textbooks/teaching resources Ability to lead outstanding research and manage a research team and projects Proven success in securing significant external research grants Strong
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. Leveraging techniques such as federated learning, differential privacy, and secure multiparty computation, the goal is to enable collaborative ML tasks without compromising the privacy of individual data