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want to be, please apply! To be successful you will need: A PhD in genomics or stem cell biology A working knowledge of tissue culture Experience in functional genomics techniques A solid track record of
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Job no:517174 Work type:Fixed term - Full-time Campus:Adelaide Categories:Level A, Level B (Level A/B) $102,024 to $135,932 per annum plus an employer contribution of 17% superannuation applies. Fixed term, full time position available for 2 years with a possibility of extension. About the...
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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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CSIRO IPhD Scholarship - AI-empowered visual recognition system for dairy cow identification, health and behaviour monitoring and detection The CSIRO Industry PhD Program (iPhD) is a four-year
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open to Doctor of Philosophy (PhD), Master of Philosophy (MPhil), and Master of Research (MRes) students. SWR is a condition where soils temporarily resist wetting, reducing water availability for plants
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Centre for Health Economics, Monash University Centre for Health Economics, Monash Business School, Integrated PhD Program 2026 Location: Caulfield campus, Monash University, Melbourne, Australia
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the application for this scholarship The application for PhD admission will only be assessed where the applicant is successful in being awarded the scholarship Prior to submitting an application for the scholarship
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bring: A PhD, or an equivalent combination of qualifications and demonstrated research experience, in Electrical Engineering, Mathematics or related fields, with a focus on power systems engineering
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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