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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Student Position in Public Economics The KOF Swiss Economic Institute at the ETH
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to the development, adaptation, and application of machine‑learning models tailored to RODI data (in collaboration with project partners). Designing and implementing an innovative image‑based database to manage and
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experience with CAD/FEM software Experience in one or more of the following fields is a plus: simulation frameworks (e.g. SOFA, NVIDIA IsaacLab), ROS1/2, machine learning, computer vision Excellent
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PhD on top level in the field of architectural history and theory You bring founded experience in academic reserch and writing You bring appoved teaching experience from one or more academic
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and setup: Within the project, we follow a multidisciplinary collaborative approach for which we are have recruited 3 PhD students focusing on material science, advanced in vivo imaging and computation
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relationships and provide mechanistic insights. Present results at conferences, prepare reports, and publish in peer-reviewed journals. Profile You have a PhD degree in environmental, polymer, organic, colloid
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carry out systemic research and teaching in a field that is set by you, as part of the Daylight Integration Nexus (DINx) initiative at D-ARCH. PhD in engineering, architecture, or another relevant
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(demonstrated by project portfolio, publications, or PhD thesis) Masters degree in architecture, urban design, arts, or another relevant discipline, PhD preferred We offer Your job with impact: Become part of ETH
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to research that informs policy, advances academic debate, and engages the public. Project background We are looking for early-career researchers, recent PhD graduates, advanced master’s graduates with research
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to global scales. It furthermore offers a range of educational activities and learning journeys, including a summer school, workshops and other outreach formats, designed to equip the next generation of food