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scarcity awareness to promote water conservation measures. To this end, the position combines econometrics, behavioral science, and natural language processing. The PhD project entails designing and
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environmental processes, in order to explain their long-term developments and to understand how they resonate into the present (https://www.uni-kiel.de/en/cluster-roots ). ROOTS combines expertise from a wide
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(deboah.wiltshire@gesis.org ). If you have questions about the application process, please contact Ms. Franca Tosetti via E-Mail (franca.tosetti@gesis.org ). Interested? Please apply via our Online-application
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effect on assembly and collaborate to quantify the effect on optical properties. Our goal is to self-assemble NPLs into 1D, 2D and 3D superstructures and understand how ligand shells affect the process
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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training
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any specific questions about the position, kindly contact Prof. Dr. Marco Thines at marco.thines(at)senckenberg.de For data protection information on the processing of personal data as part of
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selected will be deleted after the completion of the selection process.
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worldwide, taking on strategic responsibilities in the setup, operation, and coordination of experiments. Their strong contribution to data analysis, student supervision, and the dissemination of scientific
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research experience and are explicitly encouraged (e.g. South America, Asia or Africa). The PhD process will be accompanied by integration into TUM’s School of Life Sciences or School of Management and
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such as the NEPS. Potential research areas include (but are not limited to): Item response modeling of achievement tests Analysis of process data (e.g., response times) to enhance competence measurements