202 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Washington University in St" uni jobs at ETH Zurich
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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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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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80%-100%, Zurich, fixed-term We are seeking a talented Research Engineer with strong expertise in Computer Graphics, physically-based simulation, and high-performance implementation. In this role
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Further information about the LIFE Space Mission can be found on our Website . Questions regarding the position and technical questions should be directed to Dr. Adrian Glauser , Co-PI and Technical Lead
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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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application with the following documents: Motivation letter (max 1 page) Detailed CV Transcripts of all degrees including ranking information (English) Names and contact information of at least three references
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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