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3.5-year D.Phil. studentship Project: Efficient engineering and control of predictable and reliable biotechnologies. Supervisors: Prof Antonis Papachristodoulou and Prof Harrison Steel This project
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breeder blankets – this has made them the object of international investigation despite experimental difficulties. Corrosion, volatilisation, high temperatures, and redox control are just a few of the
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Experience in design and fabrication of devices and/or Soft Robots Experience in Material Testing/Characterization Basic knowledge of Control Theory Application Procedure Informal enquiries are encouraged and
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easier to detect and measured experimentally. However, it is not well known yet how this process emerges and how one can control it. This PhD project will focus on developing the necessary theoretical
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theories and models. This project aims to develop new insights into how bedrock incision processes interact with geological and climatic factors (i.e. spatially variable uplift, shield building, mega
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trade-offs between efficiency, cost, and emission control. To fully realise ammonia’s potential as a clean energy carrier, a fundamental rethinking of the combustion process is needed. This PhD project
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
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Supervisors Primary Supervisor - Dr Calum Williams Secondary Supervisors - Dr. Maciej Dabrowski , Prof Simon Horsley This PhD studentship will develop 3D-printed optical metamaterials to control
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- skills – experience: analytical skills, ability to demonstrate good knowledge in system modelling – simulation, (classical or modern) control theories or control applications with evidence Desirable
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research environment. Opportunity to shape next generation control theory within a world leading research group and to collaborate with major energy sector partners. Access to Imperial’s high‑performance