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. Experience with running numerical models is an advantage. Experience in working in a Linux/Unix high-performance computing environment is a plus. Good communication skills in English (written and spoken
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magnetoresistance and polaronic transport. This project aims to develop novel computational frameworks to understand and predict the structure of such materials. Job description You will develop computational methods
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in the fields of transportation, civil engineering, computer science, spatial planning, geography, geoinformation, psychology, economics, or an equivalent qualification. You must have a Msc certificate
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organisations responsible for providing service. The specific infrastructure system targeted will depend on numerous factors, including the interests of the candidate. The specific modelling techniques used will
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transfer, and experimental design to develop materials – and scalable methods for their fabrication – that not only substantially outperform conventional sensible heat-based thermal energy storage media but
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of sensing systems based on advanced optics, microfluidics and electrochemical methods, which provides a wide range of opportunities for the PhD candidate. The student will be involved in tasks such as
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. The GRACE mission has transformed the way we can monitor surface mass changes in the Earth system. By applying machine learning methods to terrestrial water storage anomalies derived from GRACE data, we aim
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assessment methods for steel components, experimental investigation of selected condition assessment methods, and evaluation of their suitability on obtained salvaged steel elements; Developing a computational
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interconnected systems in order to support sustainable urban development and the well-being of their inhabitants. Project background This dissertation is part of the National Research Programme 81 (NRP 81
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and infrastructure in mountainous regions. Their management is becoming increasingly challenging due to the impacts of climate change, as demonstrated by numerous events across the Alps in the summer