251 data-"https:" "https:" "https:" "https:" "https:" "https:" "Here We Are" uni jobs in Switzerland
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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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), 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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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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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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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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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