1,500 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "The University of Gothenburg" research jobs in United Kingdom
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levers for more equitable environmental action. We are seeking an enthusiastic Postdoctoral Researcher in Cultural Understandings of Biodiversity with advanced skills in qualitative data collection and
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: generating evidence to support policy. It is a collaborative project led by QMUL and the Policy, Information and Communication Directorate at Cancer Research UK (CRUK). The work will focus on exploring
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& Moist). This role will involve designing custom test fixtures, conducting practical laboratory work, and performing data analysis to create a robust and reliable testing protocol. Key Responsbilities
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information/data from one structure can be used to manage similar structures from the same population. New machine learning, sensing and digital twin technologies will be developed with the aim of driving new
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behaviour testing of steel and aluminium members/connections iii. Fabrication trials and validation of welded structural components iv. Data acquisition, instrumentation and monitoring during laboratory
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require working weekends at times) Perform detailed analysis and interpretation of data collected through various research methods, including scientific experimentation and literature reviews. Apply
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policy appraisal), analyse complex policy information, and communicate findings to academic and non‑academic audiences. Excellent written English, collaborative and self‑directed, with stakeholder
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publications, and a supporting statement, addressing the essential criteria of the Person Specification. Closing date: 6th May 2026 at 11:59 p.m. Interviews to be held: 19th May 2026 Further information We
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and conduct field measurements of lift traction motor noise and vibration in residential buildings using sound intensity probes, accelerometers, and multi-channel data acquisition systems. ii. Perform
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and Informatics provides a vibrant, collaborative research environment, bringing together expertise across advanced networks, artificial intelligence, data science, and engineering disciplines. We value