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students and external/internal collaborators to address key engineering challenges and support the technical delivery of the project. Your key responsibilities will be to: Design, model and optimise
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be free to be themselves, no matter what their identity or background. Together, we celebrate difference, value one another and are each responsible for creating an inclusive community that is
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understanding, capabilities, and innovation, while inspiring and providing broad training to the next generations of researchers. Our values are Commitment, Collaboration and Transformation. Our research lines
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the initial value formulation of general relativity. Duties include developing and conducting individual and collaborative research objectives, proposals and projects. The role holder will be expected to plan
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experimental data, preparing research outputs and the dissemination of findings. The successful applicant will also contribute to project design, supervision of students and the development of future funding
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, including patient engagement, co-design activities, data collection, analysis and dissemination of findings. Your key responsibilities will be to: Coordinate and manage day-to-day delivery of the SICKMEDS
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working towards a shared goal. You will be responsible for the design and pilot testing of machine learning-based automated ultrasound video analysis models that incorporate temporal reasoning. The research
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echocardiography dataset called CAIFE consisting of both healthy and abnormal fetal heart scans. You will be responsible for the design and testing of original machine-learning based methods for fetal heart
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Full time, fixed term for 1.5 years Apply your expertise in electrochemical device development and chemical process design to advance sustainable technologies Base Salary $113,634 - $125,896 + 17
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pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental