191 coding-"https:"-"FEMTO-ST"-"Prof"-"AMOLF" "https:" "https:" "https:" "https:" positions in United Kingdom
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to carry out high-performance numerical simulations using our in-house CFD code, extract physical insights from simplified flow models, and characterise synchronisation thresholds and the robustness
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innovation, research methods, systematic literature reviews, ethics and integrity, and research impact Technical training e.g. scientific computing, coding, materials and devices, prototyping and product
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for adaptation planning. The project is fully desk-based and supported by existing climate datasets. You will gain advanced training in climate data handling, statistical downscaling, GIS, and reproducible coding
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/ProvinceNorfolkCityNorwichPostal CodeNR4 7UQStreetColneyGeofield Contact State/Province Norfolk City Norwich Website https://quadram.ac.uk Street Norwich Research Park Postal Code NR4 7UQ E-Mail nbi.recruitment@nbi.ac.uk STATUS
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analysis, as directed, assist with coding, compile a bibliography, and support production of a report. Candidates should hold an SCQF Level 10 qualification (Honours degree) in a social science discipline
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data collation and analysis, as directed, assist with coding, compile a bibliography, and support production of a report. Main Duties and Responsibilities Perform the following activities in conjunction
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This is a full time, permanent role. Closing date:23:59 on 15th February 2026 Interview date:TBC By reference to the applicable SOC code for this role, sponsorship may be possible under the Skilled
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Website http://www.nottingham.ac.uk/ Postal Code NG7 2RD STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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. Experience in coding (e.g., Python/R/Matlab) and experience in behavioural experimentation, statistics, or machine learning is desirable but full training will be provided. Interviews for this studentship
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E8 Commitment to open research, as appropriate to the discipline, through open data, open code, open educational resources and practices that support replication Desirable: F1 Experience