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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
life. It also provides valuable skills in AI, materials testing, and data analysis. In addition to its technical innovation, this project offers a range of unique personal and professional development
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they are effective in this population of CYP and their families. The project is likely to include conducting systematic reviews, secondary data analysis of social care data and obtaining access and analysing data held
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hands-on and applied, with modules such as: Applied Nanoscience, an introductory module covering core topics in Nanoscience research, experimental skills and data analysis through lab practicals; Systems
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, e202402892. Funding Information This PhD studentship is funded through the BBRSC MIBTP Centre (Midlands Integrative Biosciences Training Partnership) https://warwick.ac.uk/fac/cross_fac/mibtp/ . The stipend is
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/ Associate in African heritage and geospatial data science. This is a fixed term appointment for 24 months. The post holder will work as part of the Mapping Africa's Endangered Archaeological Sites and
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. Experience with EEG, fNIRS, or behavioural experiments. Programming and data-analysis skills (e.g., MATLAB, Python, R). Funding: This position is funded by the EU-funded HUM.AI.N-ACCENT Marie Skłodowska-Curie
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generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. A Doctoral Researcher position to study condensation and
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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Data-driven predictions of dynamical systems are used in many applications, ranging from the design of products and materials to weather and climate predictions. Mathematical concepts from geometry
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driving invasion. You will work closely with our partners in African countries where An. stephensi has been detected to co-develop and implement the analysis plan for their data sets on mosquito vector