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The Adelaide Graduate Research School (AGRS) and Hubble are partnering to create 2 remote internship opportunities for University of Adelaide PhD students, to contribute to various projects. Hubble
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Charles Sturt University | Charles Sturt University, New South Wales | Australia | about 1 month ago
https://www.csu.edu.au/scholarships/scholarships-grants/find-scholarship/research/csiro-acdp-csu-joint-phd-program might have a temporary problem or it could have moved. What can you do about it
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PhD. The duration includes an extension of up to six months (PhD) if approved for your candidature. This is the full-time, tax exempt rate which will index annually. You will also receive an additional
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Futures Institute are seeking motivated and qualified candidates for up to 15 fully-funded PhD scholarship. The preferred candidate should have strong programming and data science abilities, with
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors for tomagraphic imaging in tissue Neural network correction of distortions in acoustic transducers web...
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brings together an industry partner, a university and Australia’s leading science agency, CSIRO, to co-develop a four-year industry-focused PhD project. The program supports a three-way partnership aiming
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to three years of study (with the potential for extension) Scholarship Details Maximum number awarded 1 Eligible courses The successful candidate must enrol into a Doctor of Philosophy (PhD) program
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PhD Scholarship This project aims to develop novel catalysts and reaction systems for energy-efficient electrochemical conversion of captured CO2 into liquid fuels. Electrochemical Conversion
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models