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, with opportunities to collaborate with both academic researchers and industry professionals. The applicant is made aware that an application for a PhD position at NMBU is at the same time an application
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for privacy-preserving (machine learning) applications; Publish and present scientific articles at international journals and conferences; Engage in collaborations in academia and industry; Assist in relevant
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. About us A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring teaching. At Utrecht University , the various disciplines collaborate
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | about 2 months ago
for industry placements, site visits, international facility visits and biannual residentials. The Project The project is led by Dr Marc Little and Dr Filipe Vilela in collaboration with industry partner, BASF
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
. •Specialist training in AI, machine learning, and digital engineering. •Collaboration with academic and industry experts for technical insight and mentoring. •A supportive research environment focused on both
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collaborative project that spans multiple continents. You will contribute to the development of new chronobiological analytics on existing data, design experiments to collect novel chronobiological data, engage
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students must cover additional fees from their own funds. Stipend top-up: An additional industrial top-up to the stipend is available for the right candidate. Industrial Engagement: Collaborate closely with
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supported by collaborations with industry giants including Boeing, Rolls-Royce, Thales, and UKRI, this research offers a unique platform to contribute to the advancement of secure, reliable, and transparent
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collaborations with industry giants including Boeing, Rolls-Royce, Thales, and UKRI, this research offers a unique platform to contribute to the advancement of intelligent assurance methodologies in sectors like
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process is poorly recorded and needs improvement. Aims and Objectives In collaboration with the Health Innovation Partnership, a modelling pipeline will be devised to cope with the challenges of data