47 development-"https:" "https:" "https:" "https:" "https:" "https:" "Computer Vision Center" PhD positions at Monash University in Australia
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fitness, reproduction and adaptation. (Lab: https://damiandowlinglab.org ) Physiological basis of response diversity (Dr Giulia Ghedini): How variation and evolution in species physiology propagate through
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PhD Scholarship Opportunity - Developing the Next Generation of Evidence-Based Rheumatology Researchers Job No: 698225 Location: Monash University School of Public Health and Preventative Medicine
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Training Program (RTP) Stipend https://www.monash.edu/study/fees-scholarships/scholarships/find-a-scholarship/research-training-program-scholarship#scholarship-details . Be inspired, every day Drive your own
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partnership between Monash University (Australia) and the University of Bayreuth (Germany). Designed to train the next generation of global research leaders, the program enables candidates to conduct cutting
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current value of $37,145AUD per annum 2026 full-time rate (tax-free stipend), indexed plus allowances as per RTP stipend scholarship conditions at: https://www.monash.edu/graduate-research/future-students
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of $37,145AUD per annum 2026 full-time rate (tax-free stipend), indexed plus allowances as per RTP stipend scholarship conditions at: https://www.monash.edu/graduate-research/future-students/scholarships
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, a university (Monash University for this project) and CSIRO to co-develop a four-year industry-focussed PhD project. You will receive a four-year scholarship package of $48,071 annually (2026 rate) if
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Remuneration: $37,145 (tax-free RTP stipend) For scholarship procedures and conditions, please see: https://www.monash.edu/graduate-research/future-students/scholarships/scholarship-policy-and-procedures
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materials and we utilise these non-absorbed X-rays to massively increase image contrast and reduce radiation exposure using coherent synchrotron radiation. We have developed these “phase contrast” and “dark
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the Department of Materials Science and Engineering within the Faculty of Engineering. Project title: Machine Learning for In Situ Materials Characterisation. We are seeking an outstanding PhD candidate to develop