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Science Center and Agroscope. The overall objective of PhenoMix is to test the hypothesis that current high throughput field phenotyping technology in combination with plant physiological and ecosystem
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noradrenergic signaling. In close collaboration with the University of Oxford, we combine cutting-edge computational modeling of human behavior with pupillometry and functional magnetic resonance imaging (fMRI
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the SNSF-funded project “Responsible AI for the Swiss Judiciary” at ETH Zurich. The project provides a unique opportunity to study judicial decision-making in a real-world institutional setting, combining
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combines machine learning, legal applications, and empirical evaluation in collaboration with judicial partners. The project offers a unique opportunity to work on real-world, high-stakes AI systems in
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hydraulic models. In this project, we will apply an innovative combination of experimental studies with tree seedlings and observational field records on mature trees to assess the physiological impact and
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postdocs. Learn more at: https://www.muoniverse.ch/ Who we are looking for Muoniverse positions often serve as bridges between individual research groups and institutions, supported through dedicated
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theoretical simulations. Develop automated flow and microfluidic setups for real-time reaction optimisation and continuous production. Where to apply Website https://apply.refline.ch/673278/3884
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of biomedical innovation. Job description PhD projects will combine molecular engineering, cell programming, and chemical–biological interfacing to engineer human cells using synthetic gene circuits and
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for cancer, as well as metabolic, neurodegenerative, autoimmune, and infectious diseases. Job description PhD projects will combine catalyst engineering, computational simulation, bioelectrode device
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at: https://www.muoniverse.ch/ Who we are looking for Muoniverse positions often serve as bridges between individual research groups and institutions, supported through dedicated measures. We