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-exploiting optimization algorithms will be used to improve the performance of the numerical methods also for this class of problems. As postdoc, you will principally carry out research. A certain amount of
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in your work. Ability and willingness to work in a highly collaborative environment, which involves research exchanges, learning multiple scientific approaches, and sharing knowledge, is absolutely
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descriptors of spatial distribution in the field of materials science (e.g., Voronoi tessellations, particle-particle distances, etc.)? What are appropriate algorithms for efficient quantification of spatial
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series data. Large data sets come with significant computational challenges. Tremendous algorithmic progress has been made in machine learning and related areas, but application to dynamic systems is
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, C/C++, Java. JavaScript), especially in design, analysis and implementation of geometric algorithms (computational geometry, map-based web interfaces, GIS). It will be considered a merit if you also
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multiple doping pathways, including chemical, electrochemical, and (photo-)catalytic processes, the project aims to develop versatile and tunable organic semiconductors with enhanced performance. Ultimately
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exploring multiple doping pathways, including chemical, electrochemical, and (photo-)catalytic processes, the project aims to develop versatile and tunable organic semiconductors with enhanced performance
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of working effectively both independently and as part of a multidisciplinary team. Organized: Excellent organizational skills, capable of managing multiple tasks and projects effectively. Excellent
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developing research concerning various types of environmental chemical analyses and underlying questions that span multiple research areas is a requirement. Documented skill in obtaining external research
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characterization methods (potentially including electrochemistry, multiple microscopy modalities, quartz microbalance, impedance spectroscopy) as well as surface modification and characterization and protein