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several related areas of expertise: generative AI for robotic planning and control, cognitive control, distributed perception and control, and HW-SW co-design of algorithms. Our research is applied across
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for graph data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations of the designed algorithms and systems. Help with research
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power electronics converters, control, and energy systems. Design, simulate, and implement power electronic converter prototypes and associated control algorithms. Perform experimental testing, data
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efficiency of vector search systems. The Research Engineer will work closely with the Principal Investigator and research team to design, implement, evaluate, and optimize algorithms and systems for high
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(LES) results. Key Responsibilities: Develop and refine numerical algorithms for real-time wind field forecasting. Validate forecasting models against high-fidelity LES data and field measurements
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computers and developing new quantum algorithms. The division hosts a vibrant and international team of theoretical physicists, maintaining a gender balance of 40% women and 60% men, and promoting a culture
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Bioconductor. *Strong foundation in statistics, data analysis, and computational methods; familiarity with machine learning and algorithm development is desirable. *Experience working in Unix/Linux computing
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optimise deep learning–based models for the quality control and real-time assessment of concrete constituents within in-line production. Develop and train predictive algorithms based on hyperspectral imaging
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mathematical subjects related to computer science, such as discrete structures, analysis of algorithms, artificial intelligence, and the theory of computation. Practical software development experience
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integrating artificial intelligence, from algorithm design to on-sky demonstration. The objective is to design intelligent adaptive optics systems capable of correcting sensor nonlinearities, anticipating