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everyday practices of street-level bureaucrats and private actors involved in eviction processes. Using a comparative mixed-methods approach, the project combines: Quantitative analysis of eviction court
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and design freedom for 3D printed concrete elements without crack formation. The (postdoctoral) researcher will closely collaborate with an entrepreneur in residence within the same project and together
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foundations for a collaborative platform dedicated to the cataloguing of medieval coins; A laboratory analysis of a specific sub-corpus of coins, which will provide a better understanding of the production
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the identification and/or development of suitable characterisation factors with spatial differentiation, particularly to better capture marine impacts. Conducting prospective analysis and scaling-up assessments
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of coated inorganic nanoparticles In vitro assays In vivo analysis WHAT WE ARE LOOKING FOR You hold a thesis-based doctorate in chemistry, biomaterials or related You have proven experience with synthesis and
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programming skills for image processing, image analysis and/or hardware control. You are eager to learn, can work independently and have a creative and solution-driven mindset You have an excellent track record
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anatomical analysis. The core scientific objective is to develop a unified pipeline that integrates generative AI, statistical shape modeling, and biomechanical soft tissue modelling to enhance anatomical
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biophysical analysis to investigate how mechanical properties are generated, regulated, and perturbed in disease-relevant biological systems, with a particular emphasis on cells, nuclei, and tissues. Job
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who thrives in a collaborative international environment Excellent communication skills in English (written and spoken) Nice to have: Experience with cancer genomics, single-cell analysis, or long-read
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pathogenesis and immunity. Beyond your own experiments, you will mentor junior researchers, supervise Master’s and PhD students, and guide technicians in daily operations. You will ensure rigorous data analysis