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and challenging materials. Artificial Intelligence and Machine Learning techniques will be employed to analyse experimental data, enabling deeper insights and faster optimisation of the nozzle design
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planned short-stay research visits with our European partners as an integral part of their PhD program. Application information: According to Marie Skłodowska-Curie Actions (MSCA) doctoral network
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broader topics within the group, such as miniaturized satellite technologies, GNSS, remote-sensing, data-driven astrodynamics, space mission design, solar sails, micro-thrusters for CubeSats, advanced
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simulations and computer-aided design, as well as training in more general training in scientific communication, project management, collaborative working, and mentoring and leadership. All these skills
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contribute samples and data for research. Entry requirements: A high 2.1 or 1st class degree in a relevant biological degree. This project requires a motivated and driven candidate. Laboratory hands
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. Please contact Dr Fengyu Zhang for further information. Email: fengyu.zhang1@nottingham.ac.uk The University actively supports equality, diversity and inclusion and encourages applications from all
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satisfying the three-year residency requirement are eligible. Please contact Dr. Abdelkhalick Mohammad for further information. Email: abd.mohammad1@nottingham.ac.uk Tel: 07428242696 Deadline: Until filled