1,507 programming-"Multiple"-"U"-"Prof"-"U.S"-"Humboldt-Stiftung-Foundation" PhD positions
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the “Dialling up Performance for on Demand Manufacturing” Programme Grant, which will place the student within an active and supportive team of 9 other PhD students, 15 postdoctoral researchers, 18 world-leading
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the “Dialling up Performance for on Demand Manufacturing” Programme Grant, which will place the student within an active and supportive team of 9 other PhD students, 15 postdoctoral researchers, 18 world-leading
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in the SPG. We will make use of models of different complexity up to complex Earth System models, and modelling efforts for different past periods. A personalised training programme will be set up
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, are encouraged to apply. Programming experience and analytical skills are highly valued. The studentship will be awarded on the basis of merit. Students who pay international tuition fees are eligible to apply
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will provide experience with new and advanced 3D-printing equipment not available elsewhere. This project is aligned with the “Dialling up Performance for on Demand Manufacturing” Programme Grant, which
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), and will provide experience with new and advanced 3D-printing equipment not available elsewhere. This project is aligned with the “Dialling up Performance for on Demand Manufacturing” Programme Grant
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Laboratory), and will provide experience with new and advanced 3D-printing equipment not available elsewhere. This project is aligned with the “Dialling up Performance for on Demand Manufacturing” Programme
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programming language, in addition to ImageJ. Ability to multitask projects effectively, prioritize, and follow through to completion. Excellent written and verbal communication skills. Proficiency with computer
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of Strathclyde will lead the wind energy training and research elements of the programme. Funded by EPSRC, this 4 year PhD studentship, at the University of Strathclyde is in the area of novel wind turbine concept
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in research Prepare and conduct interviews with key informants (including all communications prior to and following the interviews) Analyse interview data in collaboration with the research team Plan