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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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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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The DFG-funded Research Training Group (GRK 2717) „Dynamics of Controlled Atomic and Molecular Systems (DynCAM)“ at the University of Freiburg in collaboration with the University of British
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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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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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connection and collaboration in education. According to (Jagannathan, 2022) of the World Bank’s Open Learning Campus, it is time to reimagine the future of Learning with Metaverse. Metaverse based education
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machine learning in this collaboration with RMIT. Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will
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Skills: Strong programming skills are an asset Soft Skills: Most importantly, we seek individuals who are curiosity-driven especially interested in interdisciplinary research, eager to continuously learn
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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