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damp? The Institute of Physics at the University is seeking an ambitious PhD candidate to investigate the effectiveness of damp-proofing products across multiple length scales. Join Us! Rising damp from
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Political sciences Sociology Communication sciences Architecture Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Apr 2027 - 12:00 (Europe/Berlin) Country Germany
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The University of Exeter’s Department of Computer Science invites applications for a funded PhD studentship to commence on 21 September 2026, or as soon as possible thereafter. For eligible students
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to support software engineering apply AI to accelerate architecture-scale modernization help organizations establish AI-native software engineering practices guide organizations in evolving their software with
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to support software engineering apply AI to accelerate architecture-scale modernization help organizations establish AI-native software engineering practices guide organizations in evolving their software with
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real‑time anonymization in practice. The researcher will develop hardware‑aware neural architectures with hardware-in-the-loop optimization and efficient inference strategies to meet the computational
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
managerial insights and practical guidelines for practitioners. Take part in the mandatory PhD research education program Conduct independent research and publish the result in recognised scientific journals
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College of Business and Law at the University of the West of England in Bristol invites applications for a fully funded interdisciplinary PhD studentship in Water Governance Legal Frameworks and
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organized by PhD Students Weekly social gathering on Fridays (Friday coffee) Working capital that can be used to implement the project Mentor programme as a new employee at NTNU Favorable terms as a member
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04.08.2026, Academic staff Fully funded PhD position (TV-L E13) at the Technical University of Munich (TUM) in Generative AI for Automotive Software Engineering. The project focuses on LLMs, VLMs