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focuses on the resilience of the marine sinks of heat and carbon, using Earth system and biogeochemical models, observational data, and scenario analysis to identify early-warning signals and tipping points
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to fulfil all of these requirements in order to be considered for the position. We want you to fit in with us as a person, not just your profile. Our Offer: We work on highly topical, socially relevant issues
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level Are you enthusiastic about modeling and analyzing material systems? Do you have innovative ideas on how to make the energy transition a success—and would you like to play an active role in shaping
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | about 1 month ago
science. Short description of the doctoral project Large-scale bibliometric data have opened up unprecedented opportunities to measure, model and forecast migration of scientists (see the Scholarly
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or group dynamics Interest in collaborating with colleagues from the field of physics Enjoyment of combining and expanding methodological approaches and developing new measures or models Willingness
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mathematics and its practical application. Our clients value our modeling expertise, algorithms, and software products. At Fraunhofer ITWM, we work on projects in high-tech and low-tech companies, in small and
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characterization of shives and wood chips (morphological, chemical, microbiological) Evaluation and assessment of the results Modeling of cause-and-effect relationships between raw material and product properties
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circuits in mouse models Applying tissue clearing techniques and light-sheet microscopy for 3D imaging of the entire mouse brain Analyzing and interpreting single-cell genomics data to investigate cellular
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in their tissue context Development, optimization, and application of bioinformatic pipelines for data integration, analysis, and visualization of complex datasets Computational modeling of gene
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the University of Stuttgart, and with the right to award doctorates, it represents an innovative and unique organisational and structural model for the doctoral phase by connecting research and qualification as