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PhD Scholarship Develop multimodal machine learning models to predict glioblastoma treatment outcomes using imaging and clinical data. Work with real-world data from John Hunter Hospital in a
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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Martin Australia invite applications for a project under this program, advancing robotic perception systems through monitoring of their machine learning models. Run-Time Monitoring of Machine Learning
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. • be located at the agreed project location(s) and, if required, comply with the university’s external enrolment procedures. Selection criteria Skillset: Proficient in Python, machine learning, and
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PhD Opportunity on Generative-AI driven Requirements Regulation in Space Missions Job No.: 687090 Location: Clayton campus Employment Type: Full-time Duration: The scholarship may be held for up
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awardee. The Opportunity Generative artificial intelligence is a significant and highly visible use of machine learning which has become commonplace in a matter of a few short years. Without common
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PhD Scholarship PhD Opportunity in error correction codes for free-space quantum communications. This includes new analysis, design and decoding methods for error correction codes for information
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to support exceptional candidates pursuing postgraduate research in any research topic relevant to the minerals industry in Western Australia. Our PhD scholarship recipients explore a range of topics from a
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Council) PhD scholarships are funded via the ARC discovery project “Modelling, Design and Development of a Novel Wave-Energy Converter”. The purpose of these scholarships is to support outstanding students
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The Adelaide Graduate Research School (AGRS) and SA Nano are partnering to create an internship opportunity for a University of Adelaide PhD student, to contribute to the following project. About SA