233 information-security "https:" "https:" "https:" "https:" "https:" "Dr" "Robert Gordon University" positions at ETH Zurich in Switzerland
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passion for interdisciplinary science to join our team. Project background This position is part of the project “Forest Management and Drinking Water Security under Climate Change” supported by the Swiss
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collaboration with courts and partners across Switzerland. We are looking for a PhD Student in Applied ML and NLP. This doctoral position is part of the SNSF-funded project “Responsible AI for the Swiss Judiciary
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portal. Applications via email or postal services will not be considered. Furthermore, applications without a research proposal will not be considered either. For further information about the group
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, including: Cover letter (detailing your relevant experience for the project mentioned) CV Transcripts For further information, please visit our website . For further inquiries, please contact Dr. Jakob Merane
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deployment by enabling quick data collection, calibration, and policy training while ensuring safety and efficiency. For this, we develop novel learning-based control and policy optimization techniques. We're
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for stable isotope measurements. ECAF is being established as a robust, user-focused platform with standardized workflows, strong safety culture, and high-quality training to support chemical analyses critical
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well as motivation) CV Transcripts Further information about the Center for Law & Economics can be found on our Website . Questions regarding the position should be directed to Dr. Jakob Merane (jmerane@ethz.ch
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you will have the opportunity to contribute to teaching activities within the group. The position is funded for 4 years, at 100% employment. The project will be supervised by Dr. Céline Labouesse
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, focusing on environmentally friendly hydraulic stimulation technologies in crystalline rock formations. The position is based at ETH Zurich and involves experimental research at the Bedretto Underground
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data, spanning from whole-genome variant calling and decision support to single-cell sequencing analysis. We develop and extend robust analysis workflows and reusable components, in close collaboration