399 data "https:" "https:" "https:" "https:" "University of St" positions in Switzerland
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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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information for two references, which can be appended to the CV or provided as a separate PDF if you prefer. No reference letters are needed at the time of application, and we will notify you in advance if we
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. ENDOTRAIN will train a new generation of interdisciplinary experts who merge clinical endocrinology, artificial intelligence, data science, engineering, ethics and law into an integrated field of digital
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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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-focused , contributing primarily to one of the following projects: Project A – Synthetic Data for Theory-Driven Behavioral Research This project investigates how large language models (LLMs) produce
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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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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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problems in scientific or engineering domains using proprietary/real data (beyond public benchmarks), where challenges like distributional generalization, multi-objective trade-offs, causality, privacy