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relevant discipline, including (but not limited to) educational psychology, educational sciences, or educational technology; Experience with both quantitative and qualitative research (participatory
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French will be considered an advantage. You are a communicative person who thrives in a collaborative research environment. You have some experience in codicological and palaeographical research
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, biotechnology, bioengineering, materials science, or in a related area. You have proven expertise on and experience with bioprinting technologies and with cell and tissue culture. You are motivated to apply
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and analysing general Computer Vision methods, using real-world image data as a challenging experimental setting. Research focus The PhD will address open research questions in Computer Vision related
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techniques, including X-ray diffraction, XPS, SEM-EDX, and in situ Raman and IR during electrocatalytic experiments. The performance of the selected materials will be investigated in the lab and in a pilot
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experiments on collected forest soils by studying genetic (PCR) analyses, phospholipid fatty acids (PLFA) analyses, microbial biomass, soil carbon, respiration and enzymatic activities. The project is embedded
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degeneration. You will closely collaborate with a senior postdoctoral researcher who will provide practical/experimental guidance. You will get some exposure to teaching (10%), and you will have the opportunity
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projects. We are looking for a collaborative, creative, and excellent colleague with: A M.Sc. degree in chemistry or equivalent, Demonstrable research experience in peptide and/or polymer synthesis. Well
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, simulation modelling, factory planning, or cyber-physical production systems; Materials behaviour, mechanical performance, and degradation mechanisms (e.g., fatigue, corrosion, wear). Experience in
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(demonstrated through projects, thesis work, or experience) in one or more of the following: reverse logistics and circular supply chains in the built environment, business model analysis and multi-stakeholder