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with a track-record in actuator design and soft robotics, and skills in modelling, you will pioneer new concepts in chemically-driven robotics. In this 2-year project, you will develop innervated soft
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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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-on experience within vivo cancer models is essential, including experimental design, tumour-response assessment and tissue collection. A valid Article 9 qualification or equivalent is required. A strong interest
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understand what a desirable innovation is. For that, the vacancy's requirements are: PhD in Industrial Ecology, Sustainability Sciences, Technology Assessment, or a related field Proven experience with Life
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and environmental impacts associated to them. For that, you will integrate Value Sensitive Design (VSD) and ex-ante sustainability assessment within the Horizon Europe project RESILIENT-FLOWS. Therefore
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background in experimental physics, electron optics, electron microscopy, charged-particle optics, or scientific instrumentation. Experience designing, building or characterizing experimental systems. Strong
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America, and sub-Saharan Africa. In addition, you will contribute to a multi-methods project including artificial language learning and EEG, as well field-based experiments with speakers of Cha’palaa
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results from experiments and initiatives happening across the university. This preliminary investigation will inform a study that you will design and implement in TU Delft classroom(s). Ultimately, you will
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of bone formation and resorption; design and perform preclinical experiments with a pharmaceutical compound provided by our industrial partner, Azafaros, including dose-finding, longitudinal read-outs and
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on designing robust multi-risk pathways for complex multi-sectoral delta systems. Your job In this 2-year postdoc, you will explore new approaches for developing multi-risk adaptation pathways that inform robust