858 data-"https:"-"https:"-"https:"-"https:"-"Dr"-"Robert-Gordon-University" PhD positions
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technologies to process your personal data (e.g. IP address) for personalised content, ads and third-party media integrations. Functional and strictly analytical cookies are always set. Non-essential and non
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" button. We would like to point out that data will be transmitted to OpenStreetMap after activation. You can find out more in our privacy policy. You can revoke your consent to the transmission of data
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energy systems. The PhD project focuses on innovative cooling solutions for high-power data centers and high-performance electronic systems.As current server and data center infrastructures primarily rely
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) Payment technologies and the future of money Explainable artificial intelligence (AI) in financial services Integration of FinTech and big data in financial markets and sustainable finance. To discuss the
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with a wealth of social and networking opportunities. How to apply For further information please contact: Name: Prof. David MacManus Email: d.g.macmanus@cranfield.ac.uk Phone: +44 1234 754735 If you are
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total of approximately 1,400 employees and 17,700 students spread across two inspiring campus environments in Karlstad and Arvika. More information at: kau.se/en/work-with-us Description The Faculty
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assessment. Design and train reinforcement learning agents to optimize operational safety. Build and validate dynamic Bayesian network models integrating empirical and synthetic data. Conduct scenario-based
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will be affiliated with the LEAP project and Faraday Institution Funding information Standard UKRI Stipend (£20,780 from 1 October 2025) Stipend: Standard UKRI stipend, PG Research Fees - Student Finance
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project proposals. Initiates, plans and directs field studies. Supervises and directs the preparation, identification, and cataloging of information and specimens. Executes special projects, researches and
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behaviour and system efficiency. Uncertainty is inherent in the design of subsurface energy technologies, particularly during early-stage development when data may be sparse, incomplete, or inaccessible