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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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problems in scientific or engineering domains using proprietary/real data (beyond public benchmarks), where challenges like distributional generalization, multi-objective trade-offs, causality, privacy
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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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teams while maintaining primary responsibility for experimental excellence and data integrity. You will work in an industry-leading Neuroscience department with a strong portfolio of preclinical and
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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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Forest Studio is designed as a modular modelling environment that integrates ecological theory, empirical data, and modern scientific programming workflows. This position focuses on advancing
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vision and its associated diseases, as well as to develop new therapies for vision loss. For more information, please visit iob.ch ! About the project For a project in the Human Retinal & Central Visual
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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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Motivation letter References Further information about Mobile Robotics Lab can be found on our Website . Questions regarding the position should be directed to Isabella De Nitti, isabella.denitti@mrl.ethz.ch