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This research project is to understand how machine learning can be exploited in the areas of target detection and tracking. Develop tracking expertise in a new student who can subsequently work
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mathematics or computer science Must have programming skills in programming languages such as Matlab and Python Preferably have a proven track record of good publications in mathematics or computer science
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PhD Scholarship in Integrated Photonics for Telecommunication, Biosensing and Precision Measurements
achievement. Previous research experience/track record is advantageous but not essential. Some key research skills for our group are listed below. Over the course of their candidature, a successful applicant
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will help you establish a track record relevant to the circular economy, sustainability and waste minimisation. It also provides a great opportunity to work with the Australian plant processing industry
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also suit broader biology graduates. $36,000 $36,000 Applications are now open. Applications are now open. 01/01/2027 01/01/2027 1 (one) 1 (one) The applicant must have an outstanding track record with
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showing your research track records. A CV including any publications, awards, and relevant professional experience. To apply, please submit the following documents to Centre Manager (siew.queen.chin
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engineering coupled with a master’s degree and/or job experience in the relevant topic. A track record of publications and relevant software skills would be a plus point. The ideal candidate will have a
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will help you establish a track record relevant to the circular economy, sustainability and waste minimisation. It also provides a great opportunity to work with the Australian plant processing industry
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the following knowledge and/or experience are highly preferred: Computer Vision, Signal Processing, Machine Learning knowledge and/or; Experience Industry knowledge and/or; A track record of published