444 engineering-computation "https:" "https:" "https:" "https:" "Univ" "UNIV" positions at Monash University
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors for tomagraphic imaging in tissue Neural network correction of distortions in acoustic transducers web...
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The Opportunity We are seeking a Clinical Site Administrative Officer to support the delivery of the Medical Student Program within the School of Translational Medicine, based at The Alfred Centre. This role is
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healthcare, finance, environmental monitoring, and beyond. While recent advancements in foundation models have shown tremendous success in NLP and computer vision, the unique characteristics of time series
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(plus 17% employer superannuation) Amplify your impact at a world top 50 University Join our inclusive, collaborative community The Opportunity Join a dynamic team supporting Engineering Student Teams and
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research papers and reports. A collaborative approach, strong computer literacy, and an understanding of confidentiality and data handling principles are essential to thrive in this role. About Monash
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management, distributed computing, and energy-aware computing, preparing them for impactful roles in industry and research. Key Components and Example Scenarios Predictive Resource Allocation and Load
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leadership capabilities, enabling them to reach their full potential and make a real difference to people's lives and the future of pharmacy. You will participate in a leadership program throughout the course
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of points for your degree are completed (excludes OSHC, accommodation and living costs). Participation in the Campus Ambassador Program from your second semester of study. Invitation to apply for a place in
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, identifying molecular disease signatures and matching them with the most effective therapeutic interventions are essential. The Hudson‐Monash Paediatric Precision Medicine (HMPPM) Program aims to develop and
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Background and Motivation Modern deep learning models have achieved remarkable success in computer vision and natural language processing. However, they typically produce overconfident predictions