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-on experiments to answer a question that matters for biodiversity conservation? If so, this PhD-position could be the perfect fit for you! Human-driven nitrogen (N) deposition is changing ecosystems worldwide. It
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into the technologies we all live with. This project, Techno-Moral Experience and the Foundations of Design for Values (TechnoMoralXP), tackles that gap head-on by building a moral epistemology for DfV. Its guiding idea
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. The project therefore offers the opportunity to work at the intersection of medical imaging AI, methodology and European regulatory science within an international consortium. Where to apply Website https
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to interdisciplinary research that supports transitions towards more sustainable farming systems? Then we would love to hear from you. We are looking for a candidate with experience in the governance of farming systems
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describe the performance of the welded interface. Implement the developed models in commercial FE simulation software for the development of a digital twin and validate their accuracy against experiments. We
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requirements We look for candidates who have: A Master's degree (or equivalent) in Computer Science, Electrical Engineering, Biodesign, Design Engineering, or a related field Experience in building and deploying
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, distrust in epistemic authorities, and declining intellectual engagement (epistemic anomie). This project uses several quantitative and qualitative methods like (panel) survey, lab experiments focus groups
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. Experience with medical-device regulation, clinical research, benefit–risk assessment, stakeholder workshops, survey experiments, or anticipatory governance is an advantage. We do not expect candidates
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knowledge in theoretical perspectives relevant to environmental and agrarian justice; solid knowledge of qualitative research methods; research experience with rural communities in Brazil; experience with
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or applied) genomics, molecular biology, (epi)genetics, systems biology or related disciplines. Demonstrated wet lab experience; preferably in (single-cell)-omic techniques, for example sn-Multiomics, ATAC-seq