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Energy Integration in Power Grids Multiscale Numerical and Experimental Approaches for Materials Design and Engineering Integration of plugin balcony solar systems within the UK The full description of
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Heidelberg University is a comprehensive university with a strong focus on research and international standards. With around 31,300 students and 8,400 employees, including numerous top researchers
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on melting performance. Apply a multiscale characterization strategy to link microscopic phenomena to macroscopic process outcomes. This fundamental research will contribute to optimizing the HyDR process and
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, physical modelling experiments, field investigations, and/or numerical modelling. The specific focus area for the research can utilize any of these tools, or their combinations, and will depend
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Non-coding RNAs (ncRNAs) play a central role in gene expression regulation and in numerous cellular and molecular processes. Their dysregulation is implicated in various pathologies. This doctoral
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-based tools in water electrolysis research Collaboration with computer science, catalyst synthesis and characterization, and theory groups to optimize water electrolysis using the knowledge obtained in
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doctoral schools in the natural sciences and one in the humanities and social sciences as well as numerous smaller research training groups. Advising The consulting team of the Graduate Academy’s Service
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; Modeling (using Gromacs and LAMMPS software packages and MARTINI-like upscaling) the filler-matrix interfaces to optimize thermal transport, e.g., by functionalization of the nanofiller surface; Simulate and
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fieldwork (optional) Project 1: Adapt and implement numerical simulation codes for seismic energy propagation in heterogeneous media using radiative transfer theory Generate regional models of attenuation and
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University Medical Center Utrecht (UMC Utrecht); yesterday published | Netherlands | about 2 months ago
fundamental methods research to guide in these analytical challenges. In this PhD-project, you will propose and evaluate new AI methodology to ensure that organoid data can be used to optimally predict relevant