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100%, Zurich, fixed-term The Chair of Strutural Mechanics and Monitoring at ETH Zürich seeks to appoint a highly motivated PhD candidate for a fully funded, international doctoral position within
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building material, contributing to the sustainable development of the built environment. Project background This PhD position is part of the interdisciplinary based at the Chair Gramazio Kohler Research
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connectivity Profile PhD in neuroscience, biology, bioengineering, or a related field Strong background in cell culture, including primary neurons or iPSC-derived cells Experience with electrophysiology (e.g
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) initiative at D-ARCH. PhD in engineering, architecture, or another relevant discipline Experience in relevant daylight research (demonstrated by publications or PhD thesis) Workplace Workplace We offer Your
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energy transfer, developing and employing computer simulations, laboratory experiments, and field analyses. Our aim is to gain fundamental insights and develop sustainable technologies to address societal
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networks Publish results in peer-reviewed journals and present at scientific conferences Co-supervise MSc, BSc, and PhD students and contribute to teaching in the Forest and Landscape Management program
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incorporating machine learning. 2. Transcriptome Recording and Cellular History Reconstruction We are advancing our CRISPR-based transcriptional recording method (Schmidt, Nature, 2018; Tanna, Nature Protocols
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the composition of planetary bodies. Job description The PhD project will include geochemical and mass spectrometric investigations to determine nucleosynthetic isotope variations in extraterrestrial samples with
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studies. We are seeking a PhD researcher to contribute and grow within these efforts. You will join a collaborative, inclusive, and intellectually stimulating environment that values scientific creativity
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methods. Contributing to the development, adaptation, and application of machine‑learning models tailored to RODI data (in collaboration with project partners). Designing and implementing an innovative