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Field
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engineering or another relevant field applicable to the measurement technology development. For this position, we are unable to consider significantly different backgrounds, such as biology- and simulation
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experiments; supporting other group members with data analysis and interpretation from both simulations and experimental data; and use the developed framework to design new materials with optimised performance
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experiments; supporting other group members with data analysis and interpretation from both simulations and experimental data; and use the developed framework to design new materials with optimised performance
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) Contact information for at least two academic references Copy of the doctoral degree certificate
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. A particular focus will be on the soil micro-structure evolution and how this links to macro-scale behaviour, using advanced laboratory tests, imaging techniques, and computer simulations. The
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to forward a copy of your CV along with your academic referees. Informal enquiries to:Colin.clarke@nibrt.ie or niall.barron@nibrt.ie Funding:Annual stipend of €25,000 plus fees for 4 years.Project 2: Model
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The SiMul team (https://cran-simul.github.io) at the University of Lorraine is offering a fully funded PhD position on the theoretical foundations of self-supervised learning, focusing
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seeking a postdoctoral researcher to investigate how the use of visualization and simulation tools impacts undergraduate students' understanding and attitudes in topics related to semiconductor physics
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simulation tools such as IES VE or EnergyPlus, as well as proficiency in handling and analysing qualitative and quantitative data. Experience with post-occupancy evaluation, field surveys, and data loggers
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the levels of immersion experienced by users in advanced VR environments. The position involves developing a VR simulation, modifying experimental conditions, conducting human trials, and analysing user