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) to analyze data from the multi-modal Biological-Classification-of-Mental-Disorders (BeCOME) study, with a particular focus on the influence of environmental factors. REFERENCE NUMBER: 192 | 8748 The main focus
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considers the transport of suspended matter (tracers); calibrating and validating the model against long-term data on hydraulic conductivity, water temperature, and dissolved oxygen from several rivers
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reflectivity measurements with modern analytical methods Electrochemical experiments with LOHC molecules Publication and presentation of results in high-ranking and recognized journals as well as at national and
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. The way we process data produced by computational nodes is therefore constantly evolving. While historically, mainframes provided heavy lifting for dumb end user terminals, computing capabilities now
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“DiamondNanoNMR” we are looking for ambitious PhD students (75%, TV-L E13, limited to 3 years). Our mission is to apply quantum information concepts to nanoscale sensing. This emerging technology stands
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30.06.2025, Wissenschaftliches Personal The Chair of Software Engineering for Business Information Systems (sebis) at the Technical University of Munich is looking for outstanding candidates
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or directly inside the cell. This approach requires biochemistry or cell biology for the sample preparation and scripting skills for the ET data processing. For more information, please read PMID33762348
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dynamics, data science, and machine learning are beneficial. What we offer: We offer a position with a competitive salary in one of Germany’s most attractive research environments. TUD is one of eleven
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reflects the organic pollution load in water. Current COD determination methods are often discontinuous or spectroscopic and impractical for real-time application, limiting their utility in dynamic, data
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level to identify biomolecules (organic "glue" compounds) that promote soil structure and carbon storage. These data will be connected with genetic pathways of microorganisms that produce them