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analysis, and high-performance simulations? We offer a challenging PhD position in the Mathematics of Computational Science group to design and analyse novel structure-preserving methods for stochastic
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core facilities. These shared resources enable high-resolution, high-throughput analysis of tissue samples from both mouse models and human cohorts. Our lab culture is centered on intellectual curiosity
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, this interdisciplinary project will focus on developing robust, practical tools to assess and predict recyclate quality. The work will involve thermal analysis (e.g. DSC, TGA), rheology, mechanical testing, and molecular
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data integration and etc. * Discuss with the laboratory members in bioinformatics analysis as needed. * Maintaining an active role in research of the current trends in bioinformatics, and using new
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this project, funded by the Swiss Federal Office for the Environment (FOEN), the occurrence of PFASs in ambient air will be investigated. Sampling a broad range of PFASs simultaneously is challenging, as is
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. Initial analysis suggests recurrent selection of divergent types in multiple locations. The aim of this role is to complete this analysis and prepare a manuscript for submission for publication
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the MET office. The student could choose to develop these connections to understand resident experience and behaviours, identify the current barriers and facilitators, to inform adaption measures
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and image analysis. Programming skills in Python and ImageJ are advantageous. Interest in interdisciplinary and international teamwork. Excellent written and spoken English. Our Offer: We work on the
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research experience in state-of-the-art hydrogeophysical methods, hydrological modelling, soil flux analysis, and be able to work in an international team with world-leading scientists. The PhD student will
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Computational Linguistics, Argumentation Theory, and Social Network Analysis to (1) investigate how climate misinformation contributes to political polarization and (2) assess whether AI-generated, argumentative