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of health IT solutions. Collaborate with cross-functional teams, including clinicians, analysts, clinical operations, and quality and safety leaders to address complex healthcare informatics challenges
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performance computing systems in a way that is suitable for operational use. Implement and test different ML architectures, such as convolutional and encoders-decoder ANNs for predicting flooding in Bihar and
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program. Position Summary The MacDonald Lab (www.bcell.org) at the Alberta Diabetes Institute would like to hear from postdoctoral candidates with a keen interest in advancing understanding of insulin and
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to program development, impact measurement, and continuous improvement in academic environments. Awareness of emerging trends in pedagogy and their implications for student learning and faculty development
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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state-of-the-art facilities to work on the following: Developing advanced path planning, search, and exploration algorithms for multi-UAVs systems in unknown and complex 3D environments. Designing
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. Hands-on expertise with microcontrollers (e.g. Arduino, STM32), embedded C/C++, and firmware development. Familiarity with BMS development or experience with other complex control systems such as motor
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the Department of Inflammation and Ageing at the University of Birmingham. The successful candidate will work to deliver high level computational analysis of immune cell subsets in patients with cutaneous lupus
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(Academic Level A) Visa sponsorship may be available for this position Based at our St Lucia Campus - Brisbane About This Opportunity If you are passionate about computational modelling, thrive on solving
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candidate will be responsible for advancing our understanding of complex measurement issues, designing and implementing rigorous measurement models, and conducting innovative research in their field