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dispatching system of open-pit mines has undergone significant impacts by artificial intelligence and advanced unmanned mining technology. Deep learning methods, GPS positioning and navigation technology, IoT
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undertaking first or second year of an undergraduate level program of study in the Faculty of Sciences, Engineering and Technology (SET) Be an Australian Citizen Be enrolled on a full time or part time basis in
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. Please contact A/Prof ([email protected] ) with your CV, academic transcripts, and an initial short paragraph of what aspect of AI for food and waste systems you might be interested in. Please contact
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made an unconditional offer of a place in an ECU Master of Medical and Health Science by Research (J90 ) course to commence in Semester 2, 2024* (no later than 2 August). You must enroll fulltime
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available to students that are An Australian Citizen, Permanent Resident (including Humanitarian Visa Holders) or New Zealand Citizen; Commencing full-time in the Masters of Engineering Science in Term 1
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pre-colonial periods. Aims and objectives: This project will apply cutting-edge ancient DNA technology to: 1) Investigate species composition and genetic diversity through time using metabarcoding
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to creating a deeper knowledge about how a relatively modern technology has been adopted and used in non-Western settings and the consumption of photographs in such settings. • To derive theoretically informed
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of SKA-Low, Engineering Development Array 2 (EDA2) to perform an all-sky survey of low-frequency FRBs. Depending on specific interests of the candidate the project can be steered more towards Search for
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received prior to the deadline. Applications open: 1 December 2023 Applications close: 15 March 2024, 11.59 pm AEDT Apply now! About AINSE The Australian Institute of Nuclear Science and Engineering (AINSE
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the Digital Systems and Intelligent Sensors group (DSIS). within the School of Electrical Engineering, Computing and Mathematical Sciences. DSIS endeavours to utilise technology to assist people with