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privacy-enhancing techniques such as secure multi-party computation, homomorphic encryption, differential privacy, and trusted execution to design algorithms and protocols to secure ML models within
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Project description: Nowadays, data-driven machine learning algorithms are well suited to solve real-world problems that require high-level prediction accuracy. However, it seems as if nothing beats
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be Domestic Student i.e. Australian or New Zealand Citizen or Australian Permanent Resident *** for RAISE programme Project Description Using artificial intelligence software and unique algorithms
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Join Monash University’s cutting‑edge mathematical research in the Faculty of Science as a Research Fellow and contribute to computational and theoretical aspects of Dynamical Systems. This position will
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experience, this is an opportunity to contribute to a national program shaping the future of dementia care across Australia. You'll work closely with a supportive and collaborative team of registry experts
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vibrant student community in Prato. This position will be responsible for supporting all aspects of student wellbeing and program operations, including acting as the first point of contact for health
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feasibility, and to facilitate the rapid translation of study findings into registry practice and health data environments. Project goals: The aim of the project is to develop cutting-edge AI algorithms
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in teams, handle sensitive information with discretion, and possess advanced computer literacy. An understanding of Jewish communities and culture, along with experience coordinating community-focused
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of innovative computational procedures and methodologies, addressing a national skills shortage and enabling timely progress on a high-impact research initiative in modern econometric modelling. The role provides
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environment. The virtual world runs a little like a computer game, except there are no human players, all the components of the game are computer-controlled by algorithms parameterised from real insect