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Research Fellow - Analog/RF IC Design for Portable Radar System Job No.: 691720 Location: Clayton campus Employment Type: Full-time Duration: 2 Years fixed-term appointment Remuneration: $83,280
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closely related field. Rheology and Fluid Mechanics Expertise: Hands-on experience in complex fluid/suspension rheometry, constitutive modelling, and a strong foundation in particle-laden multiphase flows
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mechanisms underlying spinal cord injury and recovery. Operating within a highly collaborative and well-equipped environment, you will utilise advanced mouse models to solve complex biological questions
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publication, together with the ability to work independently and coordinate complex field-based research activities. Experience working with technology-enabled interventions or digital platforms, or combining
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discover them The Opportunity The Faculty of Information Technology is looking for a Research Fellow to lead AI and machine learning initiatives on complex, real-world pharmaceutical datasets provided by our
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statistical research Join an inclusive, collaborative community advancing complex dataset analysis The Opportunity The Centre of Research Excellence in Bipolar Disorder has an exciting opportunity available
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across a massive breadth of projects, supporting both brilliant academic minds and high-profile commercial clients. Why This Role is Different Diverse Impact: One day you’re designing a complex, custom
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collaboratively, this position will provide an opportunity to build expertise in co-design research, medication safety, health services research and evaluation of complex interventions. We are seeking someone with
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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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. This is a unique opportunity to work with pioneering bedside monitoring tools, such as ICM+ software, and support the delivery of major multi-centre clinical studies, including BONANZA-GT and PRECISION-TBI