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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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applications are: Autonomous experimental solar cell materials discovery. Supervisor: Prof. Udo Bach, Department of Chemical and Biological Engineering. (Email: [email protected]) Next-generation printable
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. The research combines robotics, computer vision, artificial intelligence, machine learning, control systems, and medical robotics to solve one of the most challenging problems in modern automation. Project
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Interested applicants should send an email expressing their interest along with scanned copies of their academic transcripts, CV, a brief statement of their research interests and a proposal that specifically
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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
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. Application Procedure Interested applicants should send an email expressing their interest along with scanned copies of their academic transcripts, CV, a brief statement of their research interests and a
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). Please submit your application via email to [email protected] with the subject line "PhD Application – MR1 Structural Immunology” Applications Close: Tuesday 18 October 2026, 11:55pm AEDT Supporting a
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may contact Dr Yuxiang Wu by email with your CV, academic transcript, and a brief statement outlining your interest in the project. Submit a full application through My.App at myapp.monash.edu/s
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The applicant will need to meet the minimum eligibility criteria for admission. Application Procedure Interested applicants should send an email expressing their interest along with scanned copies
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applicants should send an email expressing their interest along with scanned copies of their academic transcripts, CV, a brief statement of their research interests and a proposal that specifically links them