1,543 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "The University of Gothenburg" research jobs in United Kingdom
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Description' for further details on the role, responsibilities, and selection criteria, as well as further information about the university and how to apply (via the 'Apply' button above). This post is full
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excited by methodological innovation and real‑world impact. You will hold a PhD in a quantitative discipline such as infectious disease modelling, statistics, mathematical epidemiology, data science, or a
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facilities and heritage railways. Responsibilities will include coordinating demonstration logistics, collecting and analysing experimental and operational data, evaluating machine performance, and preparing
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information can assist in imagining landscapes changing in response to environmental, societal and technological drivers. This project aims to explore how to combine these approaches so they can be used
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national biodiversity indicators with international impacts. You will have advanced skills and knowledge of statistical analysis, research computing and Geographic Information Systems in relation
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qualitative data into biodiversity reporting. Review social and ecological impact assessment practice and co-design a conceptual hybrid metric system aligning the needs of corporate standard-setters with rights
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Assistant will contribute to data acquisition, quantitative analysis, and optimisation of experimental workflows, ensuring high standards of reproducibility and scientific rigour. The role offers
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well as further information about the university and how to apply. This post is full time and fixed term for 30 months. Only applications received before midday 12:00 on Tuesday 21st April 2026 will be considered
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interpretation of experimental data; Teamworking experience; Publication record commensurate with career stage. Demonstrate proficiency with data analysis tools (e.g., Python/Matlab/Origin). Have the ability
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scales, providing study information and assessing potential study participants, monitoring participant progress during the study, entering data into on-line systems, assisting with study awareness-raising