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localization algorithms, spearhead energy-aware navigation planning systems development, and oversee real world validation of underwater navigation technologies while mentoring junior team members. Key
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by applying existing and novel computational biology, bioinformatic, and machine learning algorithms to sequencing datasets and correlating them with multi-dimensional clinical datasets that contain
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Mission: Develop a monitoring and control system for an ammonia dehydrogenation plant. Functions to be developed: Perform plant modeling. Design an optimal control system. Design estimation algorithms
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Localization and Perception System based on Multi-sensor Fusion Job Description: Responsible for development of robust and reliable sensor fusion algorithms for localization and navigation algorithms of robot in
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theory, Extremal Graph Theory, Combinatorial Optimization, Matroid Theory, and Algorithms. This appointment is for about two years, and the starting salary is no less than KRW 66,000,000. The appointment
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learning-based model predictive control (MPC) algorithms for multi-agent multirotor drone navigation around vessels in maritime environments. The role will focus on integrating multirotor crash predictions
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-driven research group working at the intersection of computational genomics, clinical artificial intelligence, and imaging genetics. This position offers an exciting opportunity to develop novel algorithms
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ideas from machine learning, econometric choice modelling and mathematical psychology. You will investigate how large language models, optimisation algorithms and automated model search methods can
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Paul Goldberg and will work on the EPSRC-funded project “Driving Behaviour in Multi-winner Voting” within the Algorithms and Complexity Theory research theme. The position is for the two-month period of
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Engineering, Chemistry, Biochemistry, or related scientific discipline Experience 1. Familiar with various cheminformatics, bioinformatics, data science, retrosynthesis algorithms for enzymes. 2. Experience in