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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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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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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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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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Your Job: Random unitaries are a ubiquitous tool in quantum information and quantum computing, with applications in the characterization of quantum hardware, quantum algorithms, quantum cryptography
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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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Description The Chair of Transport Modelling and Simulation at TUD Dresden University of Technology is investigating models, algorithms and simulations to achieve an enhanced scientific
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contextual factors foster or hinder the development of the critical digital literacy skills necessary to do so? The rise of algorithmic personalization, AI-powered information sources and generative AI is
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Lab, led by Prof. Dorien Herremans, focuses on cutting-edge AI technologies for music creation and analysis. Research topics include:Text-to-music generation (e.g., the Mustango model, released in 2024
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behaviour and rheology of lubricants • Develop new simulation methodologies to predict equilibrium and rheology of lubricants in oil. • Use experimental data from Infineum Ltd. to refine models and develop