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) Programme studies the causes and treatments of cancer and related diseases. The CSCB research groups have diverse programmes in both basic cancer biology and clinical-translational studies, with a special
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This research project aims to establish the theoretical and algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It
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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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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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. 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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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
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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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complexity, the impact of blowing snow on local and regional scales. The PhD candidate will produce mass balance simulations that support estimates of snow distribution for biodiversity and ecosystem
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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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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