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physics. You will undertake high-impact research using data from the Large Hadron Collider (LHC) Run 3, with a focus on better understanding the Standard Model and identifying potential Beyond the Standard
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expertise, in molecular sequencing workflows, genomic data analysis and bioinformatics tools, including programming and high-performance computing. A collaborative approach, sound judgement and a commitment
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damage from disease and injury. We are looking for recruits whose research program that align with any of the current research themes at ARMI: https://armi.org.au/our-groups/ Heart and Muscle Development
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on radar and RF sensing applications, contributing to the design and development of next-generation integrated circuits for high-performance radar RF systems. Working alongside leading researchers in a
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and injury. We are looking for recruits whose research program that align with any of the current research themes at ARMI: https://armi.org.au/our-groups/ Heart and Muscle Development and Regeneration
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qualification in Computer Science, Data Science or related field Extensive experience working with large-scale, high-frequency (waveform) data Proficiency in analytics, AI, and modern data science tools Excellent
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We are seeking a Research Fellow - Data Science professional with strong expertise in machine learning, deep learning and high-frequency physiological signal analysis. This is a unique opportunity to
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for a Research Fellow to contribute to a dynamic program of national and international research on bipolar disorder. The position will support a broad portfolio of projects within a multidisciplinary
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, translate findings into high-quality publications, and help to shape the next generation of researchers. What you will do As a vital member of our research team, you’ll work under limited supervision to push
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. This position will be part of the National Infrastructure for federated learNing in DigitAl health (NINA) initiative and will drive high-quality research in federated and multimodal learning, with a particular