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; Veselská et al., 2025) and the development of mathematical model capable of accurately representing the hydrological characteristics of the catchment area and runoff simulation software (FullSWOF). Initially
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Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden
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remain disproportionately understudied, leaving a critical knowledge gap in our understanding of complex pollination networks. This project aims to bridge this global knowledge gap by developing and
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the world, we work together to develop solutions for the global challenges of today and tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2026/phd-position-seismic-detection
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global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally
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will explore how semantic digital twins can automate the generation of control-oriented models and how LLMs can facilitate natural language interaction with complex building management. The developed
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excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow. Where to apply Website https
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toxicity predictions. Must have familiarity with data generated by cell screening assays, cell painting, and cheminformatics. Must have experience in research software development, FAIR data/open science
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identify network designs that can further enhance global telecommunications and urban performance. This exciting PhD project presents several scientific challenges, including developing advanced models
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being reachable within an hour train ride). Website: https://www.iemn.fr/la-recherche/les-groupes/physique/nanostructures-qu… In the digital age, the energy consumption of microelectronic devices presents