355 computer-programmer-"FEMTO-ST"-"FEMTO-ST" positions at University of Sheffield in United Kingdom
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that the selection process will take place in August 2025. This will consist of a presentation, an activity and an interview. We plan to let candidates know if they have progressed to the selection stage within two
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, Business Support Manager on h.bamford@sheffield.ac.uk Next steps in the recruitment process The selection process will consist of a test activity and interview. We plan to let candidates know if they have
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Digital Humanities Institute (DHI) Established in 1994, the DHI’s mission is to support the innovative use of technology and computation within arts, humanities and heritage research as both a method of
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mission is to support the innovative use of technology and computation within arts, humanities and heritage research as both a method of inquiry and a means of dissemination. Digital culture is everywhere
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innovative use of technology and computation within arts, humanities and heritage research as both a method of inquiry and a means of dissemination. Digital culture is everywhere, and it is driven by cultural
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and modelling techniques. Real-World Impact: Contribute to transformative technologies in clean energy and carbon capture. Future job opportunities: Digital modelling and computational fluid dynamics
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together with a dynamic and friendly team of researchers across two different laboratories including cell biologists, biophysicists and computational experts. This project will give you the opportunity
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steps in the recruitment process We plan to let candidates know if they have progressed to the selection stage within two weeks of the closing date. If you need any support, equipment or adjustments
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/October 2025. This will consist of an interview, presentation and campus tour. We plan to let candidates know if they have progressed to the selection stage in September 2025. If you need any support
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. The ability to accurately model these molecules using computational chemistry is limited due to a lack of efficient Gaussian basis sets that systematically reduce errors as their size is increased. In