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Funder: EPSRC and Rolls-Royce Duration: 3.5 years from 1 October 2026 Supervisors: Prof Howard Stone Location: The PhD studentship will be based at the University of Cambridge in the Department
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Primary supervisor - Prof Emilian Parau Inviscid liquid jets subject to surface tension and in the absence of gravity are known to be unstable under long-wave perturbations, a phenomenon described
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3.5-year D.Phil. studentship Project: Computational Fracture Mechanics Supervisors: Prof Emilio Martínez-Pañeda Oxford’s Mechanics of Materials Lab is seeking a PhD (DPhil) student to support the
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, Chemistry, Physics, Engineering, Mathematics, Computer Science, Data Science, Machine Learning or Artificial Intelligence a minimum 2:1 undergraduate degree (or equivalent) Excellent spoken and written
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identification of deterioration processes and assessment of their evolution/extent. Please reach out to the primary supervisor, Prof. Craig Hancock , if you have any questions. Entry requirements: We are looking
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. CLASSIQUE is organized into four research thrusts that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics
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Job Status Full-time Hours Per Week 37,5 Offer Starting Date 1 Jun 2025 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101226468
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The program trains students for advanced, independent research in physical
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | about 2 months ago
funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The successful candidate will
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protocols to characterize both cellular and vascular properties of the TME. The approach will be validated using a combination of in silico models, computer simulations, and in vitro experiments using tumor