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for this position and group. Research Proposal (1-2 pages) outlining a potential research project you would like to undertake. Contact Information for two academic referees Further information about
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frames). Project background The work focuses on data-driven generation of structural systems. You will be involved in developing, experimenting with, and evaluating machine learning models that help
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and relevant expertise Names and contact information for three references Academic transcripts (Master’s and PhD), including grade point average and English translations where applicable Please note
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dissolved solids (TDS) are regularly monitored using handheld and automatic probes. Installing and maintaining these instruments, including regular calibration and data acquisition, will be part of your work
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. Further information about NEXUS Personalized Health can be found on our website . Questions regarding the position should be directed to Daniel Stekhoven, stekhoven@nexus.ethz.ch , and David Meyer, meyer
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Ph.D. Position in Organic Chemistry, Polymer Chemistry, and/or Sol–Gel Chemistry & Materials Science
interpreting experimental data Contributing to patent applications with support from the team Leading scientific publications and presenting results at international conferences Occasional travel to the industry
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with the following documents: Curriculum vitae Cover letter Names and contact information for three references Academic transcripts (Bachelor’s and Master’s), including grade point average and English
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100%, Zurich, fixed-term Human–Computer Interaction in Architecture and Digital Fabrication This fully funded, full-time PhD position spans four years and is embedded within the interdisciplinary
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transcripts. Contact details of 2 referees (please inform them that they might get contacted). Further information about the Institute of Molecular Physical Science can be found on our website . Questions
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Computational Design Lab and work at the interface of computer vision, computer graphics, hardware, and extended reality. The project is part of ETHAR, a new research initiative at ETH Zürich with a unique focus