16 data-"https:" "https:" "https:" "https:" "https:" "https:" "The University of Manchester" scholarships
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PhD student at ILL on Advanced Neutron Imaging for Defect Mapping in Repaired Aero-Engine Components
Mapping in Laser-Blown-Powder Repaired Aero-Engine Components You will join the Applied Science Group at the Institut Laue-Langevin (ILL), Grenoble, France and be enrolled at The University of Manchester
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Type of award Studentship Managing department The University of Manchester Value Varies depending on type of award. Specified use Varies depending on type of award. Tenable period Varies depending
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strategies. The student will benefit from a rich interdisciplinary collaboration with partners at the University of Bristol (ALD and liposome preparation), the University of Manchester (peptide synthesis
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considered for this project. Application form Closing date 14 March 2022 Decision date May 2022 Additional information ¿Multi-criteria Automatic Algorithm Configuration under Streaming Problem Instances
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/university-of-manchester-2/). The facility is well equipped to support underwater robotics research, providing access to underwater robots (BlueROV, mallARD), large water tank and underwater positioning system
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19 Jan 2026 Job Information Organisation/Company The University of Manchester Department Computer Science Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD
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successful candidate will join the PhD programme of the Department of Mathematics at the University of Manchester. This 42-month PhD position (funded by the University of Manchester) is a full scholarship
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characterisation and radionuclide partitioning using specialised experimental facilities within the NNUF RADER facility (https://www.nnuf.ac.uk/rader ). This will include the use of state-of-the-art facilities
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apply early as the advert may be removed before the deadline. The Experimental Particle Physics group at the University of Manchester is looking for excellent applicants to fill prestigious PhD positions
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Jyvaskyla University of Manchester Kone Oyi The candidates will have the opportunity to visit various partners in the network, supported by a mobility allowance. At the Chair of Machine Learning for Complex