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Field
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science, data analysis, socio-economically-driven decision-making, and collaborative research, highly sought-after skills. Number Of Awards: One Start Date: Autumn 2025 Award Duration: 4 years Application
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multidisciplinary research team within the School of Electrical, Electronic and Mechanical Engineering. SMG is known for its work in computational mechanics, fatigue, fracture, and advanced materials modeling
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future generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. We are now looking for a Doctoral Researcher in
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Overview: This exciting PhD opportunity is at the intersection of aerospace engineering and cutting-edge technology. It focuses on developing an innovative ground-based robotic inspection system
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environmental inputs, algae physiological parameters and microbial community eDNA data to develop predictive mechanistic models which can be utilised to develop an optimal cultivation strategy. The project is
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for candidates with a background in meteorology, climatology, physics, engineering and any related discipline, and a strong interest in applying advanced physical and computational methods to real-world
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to gain, at least an upper second-class honours degree in a field relevant to medical science. Interests should include dementia research, epidemiological data analyses and experimental medicine studies
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, efficiency, and the optimisation of material, energy, and waste flows. The main tasks include: 1. Developing Digital Twins: Using data from other work packages, we will create digital twins (DTs) for waste
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Engineering, Faculty of Engineering and Applied Sciences, Cranfield University, in the area of performance simulation, analysis, and optimization of supercritical CO2 power generation systems. Cranfield has
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technology. Working at the interface between soft robotic engineering and psychological science you will be expected to design and make devices, design and run behavioural experiments and surveys, analyse data