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, robust/distributed control, data-driven identification/control, numerical optimisation. Strong programming skills in at least two of the following: Julia, MATLAB, C/C++, Python. Demonstrated ability
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applicant must have (or be close to obtaining) a relevant PhD in Fluid Mechanics from an Engineering, Mathematics or Physics Department, a strong background in theoretical and computational fluid mechanics
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research projects • Ability to plan and implement research projects effectively and deliver outputs to meet tight deadlines • Maintaining a high level of professional conduct and ethics in research
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applications for additional training funding. By joining us, you will have the opportunity to contribute to a forward-thinking department. We welcome new staff with ideas who are willing to shape the future
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expertise or additional resource for a project.) You will contribute to a programme of research, funded by the Horne Family Charitable Trust, which aims to increase the evidence base on Domestic Violence and
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applications for additional training funding. By joining us, you will have the opportunity to contribute to a forward-thinking department. We welcome new staff with ideas who are willing to shape the future
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out of the TPS and remain in the USS. Please contact the Pensions team to discuss options available. The University may be able to sponsor the employment of international applicants in this role
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with a wide network of stakeholders, and explore new avenues for medical applications. For ongoing work and publications on this project, please see our website: www.cnnp-lab.com . This is a 12-months
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ending on 31 October 2027 on a full time contract. We will consider applications to work flexibly wherever possible and encourage remote working (subject to delivering the key laboratory experimental goals
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science and medicine Experience in applying AI to large-scale healthcare datasets, contributing to grant proposals, or deploying AI tools in real-world applications would be highly valuable. The successful