336 high-performance-quantum-computing-"https:"-"https:" Postdoctoral positions in United Kingdom
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Computer Science at Queen Mary University of London, working with Professor Rachel Humphris and Dr Dimitrios Kollias. The successful applicant will undertake computational research, including algorithmic
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performance requirements. You hold courses independently within the scope of the provisions of the collective bargaining agreement. Your Profile Must-haves A minimum of 3 years of professional experience in
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approaches and the high precision of dynamic approaches. The successful candidate will: You will have a PhD in Computer Science (or be near completion) with a strong research record in one or more of the
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synthetic biology strategy to enable the introduction of novel metabolic capabilities into high-performance crop varieties. The ideal candidate will have a strong background in biological nitrogen fixation
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in magnetic 3D nanoscale metamaterials to design next-generation high-performance computational devices. Specifically, you’ll investigate how vortex and spin wave dynamics can be modified in a
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health inequalities across Lincolnshire. You will design, implement and analyse spatial datasets, contribute to the development of an interactive geospatial dashboard and data observatory, and produce high
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proof-of-principle repetition-rate and staging experimentation. The successful candidate will perform duties that include developing/using particle-in-cell computer codes hosted on local and national high
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tuberculosis . The post is full-time and available immediately. The post holder will be responsible for carrying out research within a defined area of an ongoing programme focused on metabolic profiling and
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of the training process in Premier League football players. This is a unique opportunity for an enthusiastic, collegial, and high-performing researcher seeking to embed themselves in a high-performance sporting
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on glacier behaviour, including extreme events. For this work you should be familiar with image (pre-)processing techniques to obtain high quality quantitative data from time lapse imagery. This may include