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Field
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morphodynamic numerical modeling. Field data collection and analysis of nearshore dynamics. Design and analysis of flood control infrastructure. Nature-based flood mitigation solutions. Flood risk and hazard
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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identity and extracellular signaling, but how cell types, signaling mechanisms, and transcription factors jointly determine tissue structure is incompletely understood. The Koplev lab is recruiting
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, self-motivated post-doctoral researcher with strong quantitative analysis skills to join our dynamic team in the Climate, Air Pollution, Nature and Urban Health research programme. The work will make use
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acquired multiple large volume third-party fundings, allowing us to both broadly survey interesting ideas, while also perform mechanistic in-depth studies. We are a dynamic and highly motivated team
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sustainable food systems. We work to elucidate how system structure mediates sustainability outcomes from management change or policy implementation. Our applied work consists of modeling and field-based
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Emerging and Existing Linguistic Knowledge” (STATMIND ).STATMIND aims to investigate the dynamic interplay between previously acquired linguistic knowledge (including semantic properties of language
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background in acoustics, elastic wave theory (e.g., dispersion, beaming, structural dynamics, etc.) and numerical finite element simulations. Relevant experimental expertise is highly desirable but not
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a Postdoctoral Research Associate to train in interdisciplinary projects involving developing new AI-driven Molecular Dynamics (MD) simulation methods and apply them to drug discovery in multiple
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activities can be adapted according to the candidate's profile and the advancement of the project. • Get familiar with recent literature on tensor network approaches and their applications in fluid dynamics