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Field
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representations: orders, lattices and deformations”. This project aims to study modular and integral representations of finite groups using methods coming from the representation theory of finite-dimensional
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catalytic turbomachines—compact devices that combine chemical reaction and flow functions—using a novel machine-learning-based method, ChemZIP, to accelerate the modelling of complex catalytic and gas-phase
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administrative duties and provide guidance in machine learning methods to less experienced members of the research group, participate in the dissemination of research outputs, and carry out collaborative projects
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to develop novel method for Advanced WF interface control for enhanced synchronisation stability under varying grid and WF output situation. The positions involve undertaking full time research in grid
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scientists, forming small teams focused on ambitious, ‘blue sky’ research for novel methods development relevant for drug discovery analysis pipelines, trial design and operational efficiency. Led by Professor
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scientists, forming small teams focused on ambitious, ‘blue sky’ research for novel methods development relevant for drug discovery analysis pipelines, trial design and operational efficiency. Led by Professor
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imaging and data analysis. In this role, you will: Develop and apply AI tools to analyse eye images Work with hospitals across the UK to collect and study patient data Help create new methods to detect and
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About Us This role offers a unique opportunity to work at the forefront of clinical mass spectrometry, developing and applying targeted metabolomics and lipidomics methods in collaboration with
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lab has developed the OrthoFinder comparative genomic methods. OrthoFinder has become widely-used in comparative genomics research, it powers many popular databases of online genomic information, and
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draws together multiple methods and will be guided by a community coproduction to investigate the role of creative engagement with poetry in supporting poetry literacy and wellbeing for young people. A