425 phd-studenship-in-computer-vision-and-machine-learning PhD positions in Australia
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in biological problems using physical and chemical theory and computer-based techniques Meet RMIT’s entry requirements for the Doctor of Philosophy. and Be judged to be highly competitive for RMIT PhD
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PhD Develop transferable professional skills Get access to specialised expertise, equipment and training The CSIRO Industry PhD Scholarship (iPhD) Program is an industry-focused, applied research
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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple
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chemoreceptor activity. Your work will bridge both computational and experimental research, including validation using in vivo models, optimising light delivery systems, and aligning in vitro and in vivo findings
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participating university PhD admission requirements. c) Meet university English language requirements. d) Not have previously completed a PhD. e) Be able to commence the Program in the year of the offer. f) Enrol
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The CSIRO Industry PhD Program is a four-year research training program, focusing on applied research that benefits industry by solving real-world challenges. It aims to produce the next generation
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PhD Program – Understanding core competencies and mechanisms in the development and prevention of problem behaviour and poor mental health in the adolescent and early adult years Job No.: 680087
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locations, fostering a rich and dynamic learning experience. Download the Program Guide for more information. Right across Australia, with 500 scholarships from Honours to PhD - your potential is limitless
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Scholarship code: SRS-25032 This scholarship has been established thanks to the generosity and vision of the late Mr Anastassios Vassilogianis, benefactor of La Trobe University's Greek Studies
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This PhD research scholarship (Learning Lessons from Drug Resistance to Tackle Herbicide Resistance) is funded by the Australian Research Council to support a full-time PhD student to undertake