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30th April 2025 Languages English English English The Department of Structural Engineering has a vacancy for a PhD Candidate in AI and FEM Development for Autonomous Structural Design Apply
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Attributes and Behaviour Ability to negotiate and prioritise multiple, competing responsibilities and to work to deadlines Be open to new ideas, and welcome different perspectives and new ways of thinking
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reusable launchers, autonomous robotics, and advanced materials could redefine how we design space structures. The ability to remotely assemble orbital systems from multiple launcher payloads would allow
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use by the group employ multiple-input multiple-output (MIMO) technology and can be connected to build a distributed and cooperative network. To develop signal processing techniques, the group
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candidates with a background in cell cycle regulation/mitosis and cell biology. The duration of mitosis is tightly regulated by multiple factors, including the spindle assembly checkpoint (SAC
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(usually chemical engineering or chemistry, or equivalent industrial experience, but please get in touch if you think your qualification may be relevant). Enthusiasm for research, the ability to think and
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. Development of multimodal AI models that fuse data from multiple types of sensors to accurately model and predict wind turbine blade damage. Establish and develop data science pipelines for wind turbine blade
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and neurological disorders. Our research utilizes mobile and wearable technology to better understand stress as it is experienced in free living conditions. Our lab has developed several mobile apps
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Dresden/Germany Leibniz Institute for Solid State and Materials Research, Dresden/Germany Institute of Organic Chemistry and Biochemistry, Prague/CZ University of Chemistry and Technology, Prague/CZ Charles
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PhD Studentship: Rolls-Royce Sponsored PhD Scholarship – Micromechanics and In-Depth Materials Analysis of Advanced Aerospace Materials Upon the Manufacturing Process Engineering Applications