1,828 data-"https:"-"https:"-"https:"-"https:"-"University-of-Southampton" Fellowship positions
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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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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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The Division of Banking & Finance at Nanyang Business School seeks a Research Fellow to support data-driven and AI-enabled research in investments and financial markets. The Research Fellow will be
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national and international projects. About the opportunity Lead project field data science related to quantifying water security and biodiversity. Deliver outreach and adoption that translate research onto
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5, with a particular emphasis on empirical analysis, AI-enabled data construction, and policy-relevant research outputs. Duties and Responsibilities: Design, develop, and execute empirical research
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investigators. Contribute to study design, data collection, analysis, and interpretation for translational pathology projects (e.g., NGS, IHC, spatial assays, image analysis). Design and perform wet laboratory
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records, and supporting project timelines Lead and manage ethics processes, including preparation of applications, amendments, and ensuring compliance with institutional and ARC requirements Coordinate data
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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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to disentangle the drivers of landscape and climate change in the Afrotropics since the introduction of domesticated food economies. The project will collect and analyse diverse types of data