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We are seeking a motivated and Talented experimentalist for a full-time Postdoctoral Research Assistant in Modelling of Quantum Computing Control Systems within Professor Ares’ and Professor
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-Performance Computing (HPC) systems are essential infrastructure for solving complex scientific and engineering challenges. However, the rapid growth of HPC alongside AI is creating an urgent sustainability
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computing for computational fluid dynamics applications. High-Performance Computing (HPC) systems are essential infrastructure for solving complex scientific and engineering challenges. However, the rapid
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clinicians, who explore the complex social determinants of health, illness and ageing in a global perspective. About the role We are looking to appoint an enthusiastic and highly motivated individual who will
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to the Institute for Condensed Matter and Complex Systems (ICMCS) of the University of Edinburgh. The appointed Postdoctoral Research Associate (PDRA) will utilise the laser-heated diamond anvil cell approach to
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to the regulation of complex behaviours. This will involve a range of techniques including high resolution confocal microscopy to determine receptor localisation, behavioural analysis of C. elegans and computational
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to understand immune microenvironmental interactions; Integration and interpretation of complex datasets in collaboration with computational scientists You will be expected to take a lead in experimental design
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Contract: 36 months, full time An exciting opportunity has arisen for a Postdoctoral Researcher to join the Howard Group, working on cutting-edge science in the field of Computational and Systems
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aims at addressing computational challenges associated with data acquisition and information extraction from complex sensors and sensor networks. Crucially, uncertainty management and quantification
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Neuroscience (IoPPN). The centre aims to better understand the complex interrelationships between society and mental health, with a commitment to: - Ensure that the impact of social context is central to