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heavily on centralized, time-consuming laboratory analyses and manual adjustments. This is especially problematic for critical indicators such as Chemical Oxygen Demand (COD), a key aggregate parameter that
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phenomena such as the spread of misinformation or the formation of filter bubbles. For this, we rely on rigorous probabilistic methods to model and analyse the intrinsic complexities of these systems
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organisms age or how our DNA is repaired, to how epigenetics regulates cellular identity or neural memory. Activities and responsibilities The research group of Siyao Wang offers the following PhD project
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architectures [5] and Neural ODEs [2], creating a cohesive end-to-end hydrological model. Transformers will be utilized to pre-process and analyse the raw input data, capturing essential spatial and temporal
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Research Center (CRC) “Data-driven agile planning for responsible mobility” (AgiMo) , funded by the German Research Foundation (DFG). This interdisciplinary center, involving four universities and the German
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Research Center (CRC) “Data-driven agile planning for responsible mobility” (AgiMo), funded by the German Research Foundation (DFG). This interdisciplinary center, involving four universities and the German
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: Prof. Dr. habil. Bilal Gökce), invites applications. RESPONSIBILITIES AND DUTIES As part of funded research activities, you will work independently on scientific questions related to the development
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! The template can be found at: https://www.daad.de/medien/deutschland/stipendien/formulare/recommendation.doc [doc-Datei] Application deadline : The deadline for your application is 15 October 2025 at 00
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, and e-mail addresses of two references) by November 13, 2025 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD
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Research Center (CRC) “Data-driven agile planning for responsible mobility” (AgiMo), funded by the German Research Foundation (DFG). This interdisciplinary center, involving four universities and the German