186 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UNIV" positions at ETH Zurich
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), highly resolved (hourly‑scale) data on species presence, abundance, and movement patterns in rivers and streams. To address this gap, this project aims to realise the Riverine Organism Drift Imager (RODI
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against experimental data. Proficiency in Python, together with good software engineering practices such as version control and testing, is expected. Experience with high-rate dynamics, cavitation
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qualifications that include strong analytical and quantitative skills in computational solid mechanics, nonlinear dynamics, data analysis, mechatronics, and interest in laboratory-based experimentation and
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year, with a prospect of becoming indefinite) on the development of the data-analysis suite and pipeline infrastructure for the upcoming gravitational-wave space observatory LISA. In 2015, the LIGO–Virgo
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exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. Further information about the professorship can be found on our
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motivation letter the names of three referees Further information about the Earth Surface Geochemistry group can be found on our website . If you have any questions regarding the position, you are welcome
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considered. Further information about the professorship can be found on our website . Questions regarding the position should be directed to Prof. David Kammer by email dkammer@ethz.ch (no applications). We
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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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The primary focus of this position is the project-specific analyses of diverse high-throughput multi-omics datasets, encompassing a broad range of data types such as whole-genome and transcriptome