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and confident really helps. Some experience or familiarity with CNC machines, surface engineering or automated manufacturing systems. An interest in machine learning or data analysis, especially
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Status: Closed Applications open: 15/07/2024 Applications close: 1/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information The project aims to develop
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Swinburne University of Technology before commencing the scholarship. About You To be suitable for this role you will need to have experience in the below key accountabilities: Experience in modelling (CAD
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, statistical and bioinformatic algorithms for the analysis of microscopic images and data obtained by various biochemical and biological assays. You will be part of and mentored by a multidisciplinary team
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external enrolment procedures. Selection criteria Demonstrated experience in programming and system development. Expertise in Python programming and data analysis. Experience developing Machine Learning
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Status: Open Applications open: 25/09/2024 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information This scholarship is funded by
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Centre for Quantum Technology Theory (CQTT) Full-time, fixed term (3 year) position at our Hawthorn campus Annual stipend $34,700 About the Role We are seeking a highly motivated and talented PhD
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We are seeking a highly motivated and skilled graduate in chemistry, materials science, chemical engineering, or biomedical engineering to join our research team as a Research Scientist/Engineer. This
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the area of structural health monitoring of civil engineering structures on an Australian Research Council Early Career Industry Fellowship project titled, 'Transforming Smart Bridge Monitoring by Computer
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data requirements, and lower costs for large-scale modelling tasks. PINNs enhance predictive capabilities and efficiency by combining data-driven methods with physical principles. Unlike traditional