635 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" "UNIV" "Univ" Fellowship research jobs in United Kingdom
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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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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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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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of laboratory practice. an ability to communicate complex information clearly and persuasively, both orally and in writing using appropriate IT skills an ability to work as part of a team in an academic
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nanopore- and optical-based platforms to study biomolecular processes at the single-molecule level, with a focus on proteins in native environments. You will take a hands-on role in experimental design, data
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recruitment, regulatory approvals, data collection and integrity, data presentation and working with translational samples. The post is intended to provide valuable training in research governance and
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approaches, you will investigate how gene expression variability drives drug-tolerant subpopulations. This role sits at the intersection of molecular genetics, chemical biology and data science, with strong
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Climate and Biodiversity in Singapore towards 2030 and Beyond.” This position requires experience in Geographic Information Systems (GIS) and related fields, with added expertise in ecosystem services
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approximately 5-10°C warmer than the 1970-2010 average. The role will involve the generation of ecophysiological data as measurements of plant performance and generating morphological and anatomical trait data