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-temperature performance. The PhD project will focus on the development, investigations and optimizations of new electrode and electrolyte materials. The project will expand the student’s skill set in scientific research
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research papers. Program overview The successful candidate will receive: Admission to a PhD program at the University of Adelaide; A University of Adelaide Research Scholarship for 3.75 years, paid
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modelling astrophysical phenomena. The PhD project will focus on developing theoretical methods to generate accurate data to meet this demand. The student will gain expertise in high-performance computational
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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
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field” imaging techniques to solve many important problems in biology and change clinical practice in respiratory medicine. Our ongoing research program involves developing new imaging technologies
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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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courses Participation in this program is open to health professionals to pursue a Doctor of Philosophy (PhD) in health and medical sciences. Eligibility criteria The Activity Lead must: have secured
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6 Jan 2026 Job Information Organisation/Company University of Melbourne Department School of Computing and Information Systems Research Field Computer science » Cybernetics Engineering » Mechanical
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group of PhD researchers who will tackle the most pressing questions in Machine Learning while ensuring AI serves humanity responsibly. You'll work within one of our specialised research themes, each
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they fulfil the criteria for Masters by Research & PhD admission at Monash University. Details of the relevant requirements are available at https://www.monash.edu/engineering/future-students/graduate-research