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to accelerate evaluation of costly simulations Genetic algorithms and other evolutionary techniques to generate a diverse set of high-performing solutions. You will design and implement new optimization
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research across diverse basic and applied science and engineering domains. Responsibilities will include: ● Design, develop, and deploy ML/DL algorithms for domain science and engineering fields ● Support
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Duties & Responsibilities Collaborates with management, departments, and customers to identify end-user requirements and specifications. Duties & Responsibilities Designs algorithms and flowcharts
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assist in providing customers with state-of-the-art visualization and decision support. The primary focus will be researching and developing feasible algorithmic solutions to our sponsor’s complex problems
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. By integrating cutting-edge multi-agent systems, federated learning, and game theory, this project will develop sophisticated decentralised algorithms that enable autonomous vehicles (AVs
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of computational fluid dynamics (CFD). Knowledge of finite element method (FEM). Meritorious: It is also an advantage if you have experience with: Machine learning. Coupling algorithms of fluid-structure interaction
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computational analysis, including algorithm development, will be integrated throughout the program. Managing collaborations with other research programs within and outside of the lab will be necessary
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, troubleshooting problems, and helping prepare manuscripts. Primary experimental research and computational analysis, including algorithm development, will be integrated throughout the program. Managing
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demonstrated by successful applications for external funding. Extensive experience in immune repertoire data analysis, bioinformatics algorithms and software development. Deep understanding of molecular biology
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lab operations. Responsibilities Independently perform basic and advanced level statistical analysis and algorithm implementation for high-throughput sequencing data. Act as a liaison between end-users