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for Mental Health and Brain Sciences, this full-time PhD scholarship is linked to a successful NHMRC Ideas Grant focused on advancing epilepsy surgery eligibility and outcomes through multimodal non-invasive
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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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will undergo an interview process. If supported to apply, you will then submit an expression of interest (EOI) following the advice at how to apply for a research degree . In your EOI, nominate Dr
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PhD Scholarship Opportunity - Processing intelligence for green metals using in situ X-ray characterisation and machine learning Job No.: 693787 Location: Clayton campus Employment Type: Full-time
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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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are implemented which detect and correct errors using classical processing known as Decoding. However, decoding must be completed at fast speed and large-scale to ensure errors are fixed before they accumulate. In
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jobs by other users leading to wrong answers. Similar security issues have been detected in the process of quantum error correction or software level compilations. In this project, PhD student will
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strong communication and problem-solving skills and the capacity to conduct independent, quantitative research. They should have either completed, or be in the process of completing, a Bachelors H1 Honours
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principles of the Athena SWAN Charter . This position has a two-stage selection process: Stage 1: Please submit your interest to Professor Muhammad Usman at [email protected] With the EOI please
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Help Transform the Future of Epilepsy Surgery Full-time, fixed-term (3.5 years