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Field
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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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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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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
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Job Duty Conduct molecular simulation studies of soft materials. Analyze structure, dynamics, and transport properties using computational tools. Maintain reproducible workflows and manage data on local
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Job Duty Conduct molecular simulation studies of soft materials. Analyze structure, dynamics, and transport properties using computational tools. Maintain reproducible workflows and manage data on local
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from (i) household and community surveys, (ii) semi-structured qualitative interviews, (iii) ecological surveys from forests and farms, (iv) remote sensing of land cover change, and (v) other secondary
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validation, the research will identify the structural and chemical features that govern their performance. Building on these insights, computational methods will be used to explore and design new composite
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produced in parallel postdoc projects in the initiative. The research aims to gain a deeper understanding of the structure / performance relationship of the developed electrolytes and interactions between