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Research theme: Laser materials processing; Advanced manufacturing; Mechanical Engineering This 3.5-year PhD is funded by the University of Manchester and is open to UK students. The funding covers
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to demonstrate consistent knowledge in areas such as structural monitoring and/or engineering mechanics and/or numerical modelling and/or data post-processing. The research activities will be performed within
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population that hosts numerous festivals and markets throughout the year. Application procedure Before applying the candidates are advised to read the Faculty information for prospective PhD students and the
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Initiatives in Forest Research (www.slu.se/en/wiforce ) , was created. Remote sensing of fire severity and its dependency on management practices in boreal forests Research subject: Technology/Forest management
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Fully funded 4-year PhD studentship in Computational Chemistry Supervisor: Dr Zsuzsanna Koczor-Benda, UKRI Future Leaders Fellow (FLF) We are looking for a highly motivated and talented PhD
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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | about 1 month ago
offered a position later. Additional comments Application Process All applications must be submitted via the online portal no later than 30 November 2025: https://oc10.meduniwien.ac.at/open-phd-positions
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methodology to generate confidence in such decision, potentially reducing maintenance costs and down-time for offshore wind energy production. The images taken by each drone are loaded into the pre-processing
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Description Doctoral (Phd) position in Solar Cell Technology with focus on synchrotron characterization of thin film solar cells Admission to Doctoral (PhD) Studies in the subject Engineering Sciences with
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processing techniques that take full advantage of these capabilities, in order to translate them into optimal radar performance. The purpose of the PhD is to lay down theoretical and practical foundations
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will also work closely with our industrial partner on process engineering for a scalable prototype facility and product output testing. The successful PhD student will be supervised by Prof Anh Phan from