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ecosystems. The PhD student will more specifically work on the building materials. Join us to design materials for more than human living spaces. This PhD position is part of the SNF-funded interdisciplinary
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of independent lines of inquiry that complement and expand upon the core goals of the project. Key Responsibilities Design and implement modular forest dynamics models that operate consistently across stand
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activities, we design programmable cellular implants and nanocatalytic devices capable of responding to a wide spectrum of biochemical cues (e.g., glucose, ATP, disease biomarkers) and physical stimuli (e.g
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or projects), including any of designing interaction techniques, building interactive systems (e.g., Unity3D), or running and analyzing user studies. Project background Mixed Reality promises flexible
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: Familiarity with Safe and Sustainable by Design methods and tools Familiarity with datasets and models for health and environmental impact assessment Interest in mechanisms of disease development Expertise in
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-of-the-art synthetic biology with advanced nanotechnology, and electrogenetic interfaces to engineer human cells for next generation bioelectronic medicine, designing programmable cells that respond
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In this role, you will lead projects centered on the design and development of innovative experimental testing systems and their digital counterparts. You will be responsible for the conception
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for in vitro disease modeling. Our group integrates mechanical design, materials science, and bioengineering to build functional 3D organoid systems and reduce reliance on the use of animal models. We
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specifically to XRD-PDF (pair distribution function). The project is linked to crystalline and amorphous alloys, and in an industrial context to process design by establishing the structure-property relationship
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. We foster research excellence, industry innovation, and AI entrepreneurship to promote trustworthy, accessible, and inclusive AI systems for the benefit of society. Founded in autumn 2020, ETH AI