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become accessible experimentally only about twenty years ago, and is now used to realise the first noisy quantum computers. In particular, the main goals are to understand: the non-equilibrium dynamics
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devices in five domains: Health Technology, Maintenance, Smart Regions, Smart Industry and Sustainable Resources. Our faculty is home to about 2,900 Bachelor's and Master's students, 550 employees and 150
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fellowship period of 3 years. The main purpose of the fellowship is research training leading to the successful completion of a PhD degree. The applicant must, in collaboration with her/his supervisor, within
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Research Responsibilities Conduct original PhD research on shared and remote robotic control under uncertain communication conditions, integrating passivity-based control, machine learning, and human
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The candidate must have a Master degree in the relevant area (e.g., Mechanical or Chemical Engineering), with documented knowledge within liquid fuel combustion and advanced CFD modelling of turbulent reacting
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parameters, models, and statistical uncertainty. Safety formats will be assessed using risk-based approaches considering emissions, human safety, and economy considering also advanced design methods. Main
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Principal supervisors: Martin Orrell, School of Medicine, Professor – M.Orrell@nottingham.ac.uk Magdalena Opazo B., School of Medicine, Senior Research Fellow – Magdalena.Opazo@nottingham.ac.uk
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. MPhil, Research Master’s degree or Master's degree in Operations Research, Econometrics or Mathematics is preferred. Candidates with an MSc or MA degree are required to successfully complete 1 year of
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challenges in ensuring the resilience of AI in critical infrastructure. The main challenges are: a) Dynamic environments: Real-world conditions are unpredictable. Environmental factors and cyberattacks can
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master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Specialization should be in Materials Science and engineering or related subjects