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, or equivalent. Occupancy rate 100% Vacancy type Research staff Job description The Causal Inference research lab at Ghent University is seeking a highly motivated and talented PhD student to join its team. Ghent
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The research group Mechanics of Materials and Structures at Ghent University (UGent-MMS) has 5 vacancies for PhD and postdoc research in the field of fibre-reinforced composites. The vacancies
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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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Research Framework Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a PhD student for a research project
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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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that are representative of realistic processes in the subsurface, leading to better models of groundwater flows, and of how CO2 and hydrogen can be stored in porous rock layers in the subsurface. As a PhD student
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operational performance will be established, and designers, architects, engineers will be enabled to use the novel design paradigm for inspiring buildings. Within the CARBCOMN project, this PhD researcher will
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operational performance will be established, and designers, architects, engineers will be enabled to use the novel design paradigm for inspiring buildings. Within the CARBCOMN project, this PhD researcher will
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of realistic processes in the subsurface, leading to better models of groundwater flows, and of how CO2 and hydrogen can be stored in porous rock layers in the subsurface. As a PhD student performing fundamental
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scientific articles and a PhD thesis. You have solid experience with computer programming (such as Python/Julia/C/C++/etc.) including object-oriented programming paradigm You have good knowledge