256 data-"https:"-"https:"-"https:"-"https:"-"Tampere-University" positions in Switzerland
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. Project background Misinformation has severe negative effects on personal decision-making and societal integrity. In today’s information environment, misinformation is rampant. Over the past years
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information on NSM and its research and infrastructure can be found on our website . Questions regarding the position should be directed to Prof. Andrey Zheludev, email: zhelud@ethz.ch (no applications). Please
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Academic transcripts A short statement of motivation and research interests Contact information for three references Please note that we exclusively accept applications submitted through our online
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on our work and constantly improve it. We believe that the world can be improved with open data. Project background As part of our Open Science team, you will support us in developing efficient data
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observation, experimentation, and synthetic thinking, it enables students to imagine creative and sustainable solutions on the scale of the city and landscape. More information under : Job description We
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stakeholders. Ensure that information is collected, structured, and communicated to effectively inform decision-making Frame funding instruments and initiatives (e.g., Turbo Grant , WP6 umbrella project, Boost
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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
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. Isabel Z. Martínez and is based on rich administrative and survey data from Switzerland. The position offers the opportunity to gain insight into rigorous empirical research and to contribute actively
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phosphorus transport and eutrophication, using monitoring data from the EU Water Framework Directive to calibrate and validate advanced sediment routing and modelling approaches. The research will also design
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100%, Basel, fixed-term The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational