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The National Industry PhD Program is an Australian Government initiative to enhance workforce mobility among graduate researchers, and to promote knowledge transfer between academia and industries
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling Job No.: 683222 Location: Clayton campus Employment Type: Full-time Duration: 3.5 to 4-year fixed
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deep learning. The purpose of this scholarship is to support a PhD student to contribute to the advancement of infrastructure monitoring technologies with strong industry collaboration. Student type
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PhD Scholarship in Integrated Photonics for Telecommunication, Biosensing and Precision Measurements
integrated photonic circuits with unprecedented efficiency and innovative monitoring and control techniques. We are offering several PhD projects in the area of biosensing, communication and precision
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for university admission. Please liaise with your university's student office about their specifications. Scholarship funding and conditions Data61 PhD scholarships have a maximum term of 3 years and 6 months. You
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techniques to obtain an overall status of an operational PV array and identify specific PV strings or modules for further detailed analysis and monitoring tasks. Then other methods will be studied and
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Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview Elements preserved
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Status: Open Applications open: 14/02/2025 Applications close: 31/12/2027 View printable version [.pdf] About this scholarship Description/Applicant information The candidates will be working in
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systems for studying the response of mechano-sensitive cells inside blood vessel under customised physiological and pathological conditions. The microfluidic system consists of a network of semi-circular
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the area of structural health monitoring of civil engineering structures on an Australian Research Council Future Fellowship project “Innovative Data Driven Techniques for Structural Condition Monitoring