648 computer-science-intern "https:" "https:" "https:" "U.S" positions at Monash University
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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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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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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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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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My interests span a wide range of topics in theoretical physics, including: geometric phases, topological defects in matter and radiation fields, inverse problems (scalar and vector tomography), singular optics, using electrons, atoms and light and the exploration of complex systems using...
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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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Authorised by: Marketing, Faculty of IT , Monash University . Maintained by: Marketing, Faculty of IT . Copyright © 2024 Monash University. ABN 12 377 614 012 Accessibility - Disclaimer and copyright - Privacy , Monash University CRICOS Provider Number: 00008C, Monash College CRICOS Provider...
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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 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...