693 postdoctoral-image-processing-in-computer-science positions at Monash University in Australia
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& Infrastructure Coordinator The Opportunity Join a dynamic academic community as the Senior Resource & Infrastructure Coordinator in the School of Psychological Sciences. This key role supports research programs by
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processes, our work leverages big data and systems biology approaches to uncover novel insights into human health and performance. This role offers an exciting opportunity to grow your research profile while
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development strategy to launch a suite of industry-focused short courses. As the successful candidate, you will be responsible for assisting in formulating and executing business development processes
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delivery of clinical research that directly impacts real-world care. This role is ideally suited to an early career researcher or health sciences graduate with experience in clinical data collection and
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. This would provide thousands of diverse example images with corresponding body part locations. These data would be used to train a deep learning model 5, 7 . The model’s high-quality body part predictions may
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The brain is a complex machine and brain function remains yet to be fully understood. This project works at the intersection of dynamical modelling, statistical signal processing, statistical
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independently and as part of an interdisciplinary and cross-cultural team, possess excellent organisational and communication skills, and work collegially with other staff. Advanced computer skills, including
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independent and collaborative research, developing expertise that enhances decision-making frameworks and optimises reconciliation processes in real-world business settings. The project will be
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process by the executive search firm SHK. For a confidential conversation or to apply, please contact Siobhan Forbes on +61 499 981 034. Diversity is one of our greatest strengths at Monash. We encourage
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of Machine Learning (ML) models across large-scale distributed systems. Leveraging advanced AI and distributed computing strategies, this project focuses on deploying ML models on real-world distributed