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Field
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the workflow becomes useful for real-time structure-based drug design. The role encompasses algorithms, logistics of compound sourcing and coordination with experiment, and software engineering to containerize
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quality, avoiding the paralysis that troubles artificial algorithms when options seem equally good. This project asks: what objective functions do such biological systems optimise, and how can we use
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theoretical topics such as algorithm design, analysis and application, automata theory, complexity theory, formal methods, information theory or other computer science topics together with a practical focus in
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, integrating five innovations. First, you will establish material accountancy algorithms using Monte Carlo simulation and Bayesian inference to distinguish normal tritium losses from suspicious discrepancies
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fundamental theoretical platform. We currently have a number of Research Associate vacancies to support this Challenge and its projects in the following areas: Advanced Methods and Algorithms Applied
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related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm and experience in using these algorithm for electrical engineering problems
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project quotes based on defect inputs, and real-time supply chain performance, embedding decision-making algorithms and learning mechanisms into business operations, whilst moving away from manual and
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We are looking for a motivated Research Associate to conduct research in Algorithms and Computational Complexity, with applications to Game Theory and Optimisation. The research is led by Paul
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: Operational Research Applied Mathematics Computer Science Business Analytics A related quantitative field You will also bring experience in: Optimisation algorithms (exact methods and heuristics), Strong
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Algorithms Applied to Electron Ptychography of Biological Specimens (10380) 24m Fixed Term Advanced STEM/SEM Acquisition Methods to Study Beam Sensitive Biological Samples (10381) 24m Fixed Term Imaging