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This project aims to develop robust algorithms capable of identifying and analyzing fingertips extracted from both static images and video footage. Machine learning techniques, particularly computer
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
Prof. Jamie Pittock’s project research team with Dr Matt Colloff and a PhD scholar. The activities include: Working with experts and governments in south east Australia; Assembling data on waterbirds
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toxicology to address a global pollution challenge. Building on recent breakthroughs by Dr. Shearer and A/Prof. Kee, this project investigates quantum dot (QD) photocatalysts capable of degrading
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biology, plant-soil microbial interactions, or restoration ecology. Enquiries: Prof. Jaco Le Roux at jaco.leroux@mq.edu.au This position is open to international and domestic applicants. Applications Close
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will support a widefield monitoring campaign utilising the upgraded Murchison Widefield Array (MWA), under the leadership of A/Prof Natasha Hurley-Walker. The successful candidate will play a key role in
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experiments for months before the value of output y is measured for some given input x. This creates an exciting challenge for AI researchers to develop smart algorithms that can find the optimal value of input
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at the University of Adelaide is subject to the execution of a scholarship agreement for the relevant project. Enquiries A/Prof Peter Smitham: peter.smitham@adelaide.edu.au General Enquiries: HDR Industry team
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
new holistic, pollution management concept of “ocean catchments” using the Indian Ocean as the initial pilot program. The project is a collaboration among Prof. Jamie Pittock at the Fenner School
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. This project will be conducted at Telethon Kids Institute. A/Prof Laurence Cheung is a staff at Curtin Medical School, a co-head of Leukaemia Translational Research Laboratory at Telethon Kids Institute, and a
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integrating IoT sensor data, ML algorithms, and energy system modelling / simulation. Develop engineering-based simulations to understand operational impacts on energy output and maintenance needs. Prepare