44 cloud-computing-phd-student PhD positions at Cranfield University in United-States
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We are pleased to announce PhD studentship project in “Advanced Composites Development for Hyper-velocity Impact Protection of Space Satellites Structures”. This is an exciting PhD research
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conferences. Cranfield operates a substantial Doctoral Researchers Core Development programme (DRCD) for its research students. This programme provides a generic structured training programme which is
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This PhD project will focus on developing, evaluating, and demonstrating a framework of novel hybrid prognostics solution for selected system use case (e.g. clogging filter, linear actuator, lithium
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We are looking for a highly motivated candidate to pursue a PhD programme titled "CFD-informed finite element analysis for thermal control in wire-arc directed energy deposition." This research
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in our CDT program, and warmly encourage applications from students of all backgrounds, including those from underrepresented groups. We particularly welcome students with disabilities, neurodiverse
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be crucial in advancing the project’s goals and in fostering knowledge exchange with global thought leaders in the field. Students involved in this project will gain a wealth of expertise in adaptive
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training programme with emphasis on innovation and impact, collaborative working and learning, continuous development, active engagement with partners and stakeholders and inclusion of student-led activities
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This studentship is open to both UK and International applications. This is a self funded PhD opportunity. Find out more about tuition fees. Cranfield Doctoral Network Research students at Cranfield benefit from
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. Diversity and Inclusion at Cranfield We are committed to fostering equity, diversity, and inclusion in our CDT program, and warmly encourage applications from students of all backgrounds, including those from
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algorithms are used that allow a computer to process large data-sets and learn patterns and behaviours, thus allowing them to respond when the same patterns are seen in new data. This include 'supervised