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Field
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) within the scope of the project “FMC Fire - Determination of Exposure Risk and Management of Civil Protection Assets in Forest Fires through Remote Analysis of the Moisture Content of Forest Fuels”, with
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analysis of biological samples and DNA, determination of cellular damage biomarkers, statistical analyses, and preparation of reports and scientific articles Where to apply Website https://sede.uvigo.gal
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Project advert Video-based technologies can capture players’ match kinematic data. Recently, FIFA have implemented a video-based skeletal tracking system into their referee decision support
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project Akuru develops clinical AI tools designed to enhance safety, efficiency, and quality in healthcare decision-making and documentation. This internship focuses on a retrospective validation study of
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wellbeing and enabling inclusive decision-making for a greener, fairer and healthier future. The PhD will be based in the Environmental Mathematics group within the Department of Earth and Environmental
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multidisciplinary supervisory team spanning engineering, ecology, and environmental science, with access to state-of-the-art laboratories, field sensors, and data-analysis facilities. You will also join Manchester
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harness advanced techniques such as machine learning, optimization algorithms, and sensitivity analysis to automate and enhance the mode selection process. The result will be a scalable methodology that
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of the vibrational energy. This project is intended to perform numerical analysis and modelling aimed at the optimisation and development of effective friction dampers. The research studies on friction damping will be
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-ERIC project “LEMIS” (Analysis and imaging of Light Elements in Materials of Importance to energy Storage using ion beams). The position will remain open until filled. The position is available
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adaptation funding will be essential here. Most of this PhD project will focus on the statistical analysis of these rich cross-country datasets, also examining whether firms’ decisions differ from households