72 computational-physics-"https:"-"https:"-"https:"-"https:" positions at Cranfield University
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models and physics-based models. More recently, hybrid prognostics approaches have been presented, attempting to leverage the advantages of combining the prognostics models in the aforementioned different
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confidence, safety, and reliable shared decision-making. To achieve this, the programme offers two closely connected research directions. The first area focuses on real-time multimodal human trust sensing
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management. The program will combine desk based and experimental activities that will ultimately establish the most sustainable approach to treatment, recovery and/or disposal of the brines. The successful
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mechanical, control or aerospace engineering, physics, mathematics, or other relevant engineering/science degree. The ideal candidate would have experience with computational modelling and control of dynamical
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progression up to £29,370 per annum We welcome applications from digital specialists to join our newly established Process Automation and Improvement Team – driving smarter, more efficient ways of working
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covers fees and stipend for a home (UK) student with funding provided by the Leverhulme Trust through the Connected Waters Leverhulme Doctoral Programme. Options exist for PhD and Master + PhD routes
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. The studentship is funded by the Leverhulme Trust through the Connected Waters Leverhulme Doctoral Programme. Urban blue networks, including rivers, canals and wetlands, are dynamic systems that shape how cities
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, and flexible working arrangements ideal for computational and field-integrated PhD research. Methodology You will develop a process-based, spatially explicit population model for European amphibians
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. The successful candidate will work closely with the project sponsors to deliver the outputs and will have access to a bespoke training programme. This project will deliver a model that integrates water quality to
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: • Experience with programming (Python, MATLAB), • background in aerospace, computer science, robotics, or electrical engineering graduates, • hands on skills in implementation of fusion