38 electronics "https:" "https:" "https:" "https:" "https:" "BI" PhD positions at Monash University
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biology or a related field, with a strong academic record. HOW TO APPLY Complete the application form at https://forms.gle/ia9t4KPD3FKTz1bs8 (or email [email protected] to request the link
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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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consult the website: https://irtg-optexc.de/ . For specific questions about the research projects above, please email the corresponding supervisor. What makes this opportunity special? Earn a Doctor of
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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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successful. To be eligible, you must be an Australian or New Zealand citizen or Australian permanent resident. Please see other eligibility requirements and other details at the following link. https
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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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new x-ray imaging techniques from the synchrotron to the laboratory Transforming breast cancer imaging with x-ray phase contrast Webpage: https://xrayimagingmonash.wordpress.com/ For further details
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processing and phase transformation. The candidate will work with experimental datasets from techniques such as electron microscopy, EBSD, X-ray diffraction, X-ray imaging and in situ characterisation
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motivation Testing whether the system performs equitably across cultural and language groups Training spans intervention design, trial methodology, human-computer interaction, and applied machine learning