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-generating mechanism, integrating it with recent insights from debiased machine learning and causal inference. Besides laying foundations for a novel paradigm for causal/statistical modeling, this project
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joint PhD between the two involved universities. The job will focus on the generation of reactive oxygen and nitrogen species in a non-thermal plasma environment that will be carried by hydrogels to treat
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Previous experience in programming in R, Python or similar. Previous experience in advanced statistics, e.g. generalized linear mixed models, and/or big data processing. Personal characteristics In
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Personal characteristics In the doctoral candidate selection process, emphasis will be placed on personal and interpersonal qualities. Important elements to be considered are: Be scientifically curious and
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synthetic fibers, yarns and fabrics) combined with high anisotropy and non-linearity. Furthermore, the dynamics of high-speed manufacturing processes need to be included in the modelling framework, ensuring
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-situ optical and electron microscopy during loading. This includes micro-scale Digital Image Correlation (DIC) which gives full-field strain information at the sub-micron scale, force measurement and
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have solid experience with computer programming (such as Python/Julia/C/C++/etc.) including object-oriented programming paradigm You have good knowledge of mathematical modelling, data analysis and
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degree (obtained by the time the position starts) in geology (or equivalent) with a strong interest in building stones, salt crystallization, weathering, advanced image processing techniques and/or image
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in minuscule pores inside a material? In this project, new techniques will be developed to solve this using high-resolution X-ray CT, based on principles used in hospitals to image patients, but at a
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minuscule pores inside a material? In this project, new techniques will be developed to solve this using high-resolution X-ray CT, based on principles used in hospitals to image patients, but at a hundred