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in near real-time. This includes exploring and advancing electrochemical sensor technologies. The PhD project will lay the foundation for the digital transformation of water infrastructure, enhancing
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUD has established the Collaborative
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on “Probabilistic Methods for Dynamic Communication Networks” at WIAS and will be supervised by Prof. Dr. Benedikt Jahnel (WIAS & TU Braunschweig) and Dr. Lukas Lüchtrath (WIAS). It includes the possibility to pursue
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Project (PhD Position) – Accelerated Materials Development by Combining High-Throughput and AI Approaches Your Job: The accelerated development of advanced materials is essential for addressing major
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nanoconstructs. The primary goal is to build an AI-based digital twin, which can predict the assortment and sequence of two-dimensional all-DNA motifs required for the engineering desired tessellation patterns
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smart technologies in the bioeconomy, agricultural, food and environmental policy impact analysis, and/or production efficiency and food markets. leading to an internationally competitive PhD degree and
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at Forschungszentrum Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd . We welcome applications from people with diverse backgrounds, e.g., in terms of age, gender
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separately, yet a reliable, open-source tool integrating a shallow-water solver and a multiphase porous-media solver within the same framework is missing. Without this coupling, it is not possible to predict
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Areas of study Neuroscience, Physics, Applied Computer Science, Bioinformatics, Computer Science, Engineering Informatics, Medical Informatics, Chemistry, Analytical Chemistry, Inorganic Chemistry
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in Germany. It offers a modern, interdisciplinary, and