1,856 data-"https:"-"https:"-"https:"-"https:"-"University-of-Plymouth" Fellowship positions
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establish a distinctive research profile, with a particular focus on Green Energy Investment and Trade in Asia. The role will suit a candidate with strong data analytical capabilities, demonstrated knowledge
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macular edema (DME), with potential expansion to other retinal indications, through network meta-analysis and patient matching methodologies applied to historical and recent clinical data. The participant
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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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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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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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financing by the University of Bergen. About the project/work tasks The fellow will be part of the existing research community at Statistics and Data science group. The research project for the fellowship
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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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energy, water, food, and waste. You will play a key role in the project’s conceptual development, undertake qualitative data collection and analysis, and co-author publications that support environmental
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and carers to coordinate data collection and drive the work package’s research output. The goal of Work Package 3 (WP3) of the EMERALD-Lewy programme is to develop and maintain a pilot prospective