631 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"CEA-IBS" positions at Monash University
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will bring a genuine desire to use your own rich professional practice and knowledge to support the Faculty’s professional experience through an internal focus on student development and an external
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This project focuses on brain network mechanisms underlying anaesthetic-induced loss of consciousness through the application of simultaneous EEG/MEG and neural inference and network analysis methods. In this work we study the effects putative NMDA antagonists xenon, a potent anaesthetic, and...
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meet the following criteria: Current Australian Year 12 or International Baccalaureate student. Completed Year 12 in previous year and has not undertaken any other tertiary study. If you identify as an
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people who discover them The Opportunity Working as part of an interdisciplinary team at the interface of basic science and innovation in Chemical Biology, this doctoral-level researcher will be
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with Turning Point's helpline service, students on the Next Generation of Graduates in AI in Mental Health program will have the opportunity to enhance the capabilities of these helplines using data
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coordinating student allocations across four years of the Monash Bachelor of Medical Science and Doctor of Medicine program and works closely with the central faculty medicine placements team across the Monash
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evaluation Applications of AI in biomedical research This project is suitable for students with an interest in genetics, computational biology, or data science. A background in statistics, computer science
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Modern map-based systems and location-based services rely heavily on the ability to efficiently provide navigation services and the capability to search points of interests (POIs) based on their location or textual information. The aim of this project is to build a next-generation navigation...
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This PhD project is funded by a successful ARC Discovery Project grant: "Improving human reasoning with causal Bayesian networks: a user-centric, multimodal, interactive approach" and the successful applicant will work as part of a larger research team. Reasoning and decision making under...
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Anomaly detection is an important task in data mining. Traditionally most of the anomaly detection algorithms have been designed for ‘static’ datasets, in which all the observations are available at one time. In non-stationary environments on the other hand, the same algorithms cannot be applied...