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Sciences. This role sits within a collaborative quantum science project at King’s on quantum algorithms and numerical methods for many-body dynamics beyond the reach of standard classical simulation
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project at King’s on quantum algorithms and numerical methods for many-body dynamics beyond the reach of standard classical simulation. About the role We have a high preference for a candidates who is
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algorithms and numerical methods for many-body dynamics beyond the reach of standard classical simulation. About the role We have a high preference for a candidates who is willing to start imminently, and
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within a collaborative quantum science project at King’s on quantum algorithms and numerical methods for many-body dynamics beyond the reach of standard classical simulation. About the role We have a
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Thomas' National Health Service (NHS) Foundation Trust. We run a clinical PET service in parallel with an extensive programme of clinical research. Facilities currently include 2 cyclotrons
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Neuroscience (https://www.kcl.ac.uk/neuroscience/about/departments/basic-clinical-neuroscience), working closely with Biostatistics and Health Informatics (https://www.kcl.ac.uk/bhi), and will be part of a team
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records, biological, climate and environmental from EU and African partners. The postholder will be responsible for developing and applying AI methods across the following areas, demonstrated through
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future of education and research for King’s Engineering. We offer undergraduate and postgraduate education, with a distinctive approach, combining traditional teaching methods with modern, project-based
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, deep learning and data-mining methods to address complex research questions. They will lead the analysis of large-scale, heterogeneous datasets, including sequencing, sensor, biological and medical
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monitored by UK Research and Innovation (UKRI). The programme’s mission is to develop innovative methods for designing and integrating microchips manufactured using different semiconductor technologies