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Field
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, these models often use simplified, linearized assumptions, limiting their capacity to capture the nonlinear complexities inherent in real-world hydrological processes. Recently, there has also been the branch
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to the success of the whole institution. The Faculty of Electrical and Computer Engineering the Institute of Semiconductors and Microsystems together with the German Cancer Research Center site Dresden, Division
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open to candidates of all nationalities. Selection process Applications should be submitted as a single PDF file to: laganenka@mpi-marburg.mpg.de The file should include: A short cover letter describing
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the second funding period, we focus on chemical and physical transition processes – such as (nanoscale) phase transitions, dissolution/solvation, catalysis, crystallization, or molecular aggregation/switching
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Biology, Biochemistry, Life Science, (Bio-)Physics, Chemistry, Computer Science, or related fields. Visit the IMPRS-LM website for more information about the program, the application process , and the
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electronics, or related areas. • Familiarity with integrated circuit design, signal processing, or multiphysics simulations is advantageous. • Interest in cross-disciplinary research at the interface of sensor
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practices. Within this framework you will: extend and use a process-based modeling approach which explicitly represents microorganisms and biomolecule functioning in soil systems. use process-based modeling
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methods to make them usable for transparent energy systems analyses. The collected data will be processed and semantically enriched using methods you develop before being transferred to a knowledge graph
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on mountain forest dynamics, and how these can be moni-tored from remote sensing data. Specifically, tasks include: Processing and analysis of remote sensing data Combining remote sensing and field data
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contribution to co-operation within the network. The tasks listed are not exhaustive and further activities and tasks may arise in the course of the doctoral thesis in order to achieve the research objectives