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21 Aug 2025 Job Information Organisation/Company RMIT UNIVERSITY Research Field Biological sciences Physics Chemistry Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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performing other duties that support the efficient operation of the research team. Mandatory: PhD or equivalent in electrical and electronic engineering and/or applied mathematics, in particular, in one
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-series data assist in the supervision of PhD and Honours students working on related topics, including the analysis of large-scale sleep recordings from a dynamical systems perspective. About you The
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applications of data science and modelling. The successful candidate will support the research of Professor Lucy Marshall, Faculty of Engineering and will collaborate with members of her cross-institutional
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, thermochronology, tectonics, geodynamics, surface processes, relational database design, and geological data science. experience using GPlates, Underworld, Badlands, goSPL, Pecube, GLIDE, Age2Exhumation, and/or
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are desirable. To be successful in this position, you’ll have: A PhD degree in Computer Science related field is desirable Industry Experience: Demonstrated industry experience in managing, building, and testing
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collaborate with senior researchers to design and implement impactful studies, analyse data, publish in leading journals, and support student supervision. You’ll also have opportunities to engage with industry
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fixed-term 12 months Level A $83,268 - $111,939 + 17% Superannuation About the Role: The School of Humanities and Social Sciences places high emphasis on research that makes a difference and is solution
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the following skills and qualifications: Essential a PhD (or equivalent) in marine biology or related field a valid driver’s license a strong track record of publications in the international scientific
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Australian National University | Canberra, Australian Capital Territory | Australia | about 7 hours ago
Computational Biology, Bioinformatics, or a closely related field. Demonstrated expertise in spatial transcriptomics, single-cell data analysis, and RNA biology, including experience with RNA isoform diversity