580 embedded-system-"https:"-"https:"-"https:"-"https:"-"St"-"St" positions at Monash University in Australia
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implement effective operational systems. You will bring outstanding organisational skills, effectively managing priorities and deadlines with precision. Your commitment to delivering exceptional customer
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biomedical research while upholding the highest ethical and professional standards. This is an excellent opportunity to combine hands-on technical expertise, leadership, and collaboration with researchers and
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Science team at the Monash University Accident Research Centre (MUARC) is seeking a motivated and detail-oriented Research Fellow (Level A) to join our cutting-edge team. In this research-only academic role
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operational needs. There is a key opportunity for specialist work in an emergent intersection area which we can call Value-Based Digital Health (VBDH). To expand further, VBDH is a discipline area that sits
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celebrate everyone's contributions, lived experience and expertise. That’s why we champion an inclusive and respectful workplace culture where everyone is supported to succeed. Learn more about Monash . Be
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Public transportation is vital for sustainable urban mobility, yet challenges like inefficient first- and last-mile connectivity, and over-reliance on private cars hinder its effectiveness
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Synthetic data generation has drawn growing attention due to the lack of training data in many application domains. It is useful for privacy-concerned applications, e.g. digital health applications
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people who discover them The Opportunity The School of Earth, Atmosphere and Environment is seeking an Assistant Lecturer to teach and conduct research under the ARC Future Fellowship project
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that can be achieved e.g. in perturbative calculations, typically then also with direct bearing on current or planned measurements. Our team is part of several global collaborations, centred mainly in Europe
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systems. The fast growth, practical achievements and the overall success of modern approaches to AI guarantees that machine learning AI approaches will prevail as a generic computing paradigm, and will find