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modular, scalable, and transparent control algorithms suitable for real-time implementation across different vehicle platforms. - Contribute to theoretical developments in stochastic model predictive
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, and sea birds. Economic analyses explore changes in the value of marine fisheries and other ocean assets. Co-developed with stakeholders, NO-REGRETS will create tools allowing policymakers, industries
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Aspects of Clinical Decision Support Systems. The lab is an interdisciplinary collaboration between several universities and other partners. Your job Your main task will be to develop a multi-agent logical
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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
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animals, while Prof Durbin's works on computational genomics and large scale genome science, including the development of new algorithms and statistical methods to study genome evolution. Moving forward
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. For more details, please see: https://www.ukri.org/what-we-do/developing-people-and-skills/epsrc/studentships/industrial-case/ . Supervisor(s): Prof. Mike Antoniou and Prof. Marina Gashinova
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motors and braking technology, high-torque density axial flux electrical motors, development of servo controllers and algorithms, and special electrical machines such as superconducting electrical motors
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and grippers offer improved safety and adaptability but introduce new challenges in design and control. Their development is still largely bio-inspired and trial-and-error based. Integrating flight and
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Martin Australia invite applications for a project under this program, exploring the development of Physics Informed Neural Networks (PINNs) for efficient signal modelling in areas such as weather
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The candidate will be embedded in the Theory cluster at the Leiden Institute of Advanced Computer Science, supervised by Dr. Tobias Kappè and Prof. Dr. Marcello Bonsangue from the System Modelling and Analysis