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- UNIVERSITY OF VIENNA
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to test data, which are therefore only useable within a narrow range of scenarios. These limitations result in the requirement of large number of high-cost experiments being conducted to populate the models
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research and / or experience of qualitative research. Expertise will be gained in how to use large datasets (‘big data’) to address clinically relevant questions and how to design and conduct a clinical
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of the research findings. Person Specification Candidates will be expected to have a first degree in Economics or proximate fields; strong analytical skills; experience in quantitative data analysis using large
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quantitative and qualitative data. This project is likely to involve undertaking a systematic review; interrogating and analysing large-scale healthcare datasets; and using qualitative methods, such as
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at the Large Hadron Collider (LHC) at CERN. It is a novel experiment searching for exotic long-lived and weakly-interacting new particles. Such particles are excellent candidates to explain the existence of Dark
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landscape, from SMEs and start-ups to OEMs and large-scale global manufacturers. For more information please visit the MTC website . Contact For further information on this PhD position please contact Dr
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of existing bus stops and services provided by bus operators and regional transport organisations, along with bus fare and timetable data and a range of datasets on the socio-demographic, economic and land use
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large, heavy infrastructures are not suitable for deployment in active environments. This project will apply recent advances in spectroscopic imaging, analysis and detection, as well as collimator
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environment. Accurately predicting flow and heat transfer in these systems is critical for safety, performance, and design assessments, yet direct high-fidelity simulations, such as Large Eddy Simulation (LES
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us to run large numerical simulations with billions grid points on mixed computer architectures including CPU and GPU machines. A current project is preparing the code set for the next generation of