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for predicting sand and particle transport struggle with the cross-shore processes (perpendicular to the beach), and they even have difficulties predicting the sign right (offshore transport vs. onshore transport
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to improving materials design and performance predictions for crash-relevant loading conditions, enhancing crashworthiness and structural integrity in lightweight automotive components. Your work will bridge
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difficult to predict. Please review courses offered in the department and indicate which ones you believe yourself to be qualified to teach. Classes most often in need of an instructor include: CFS 31 (Family
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encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship As part of the Wave Interaction and Propagation Section, you will contribute to consolidating
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injury risk analysis, predictive analytics, and recruitment and talent identification models; Works with individual players and helps them develop on the field through video analysis; Participates in
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MLE/DS will work on studies aimed at advancing the understanding, prediction, and treatment of suicidal thoughts and behaviors. The position involves working on scalable data pipelines, integrating
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energy system models based on the institute`s own open-source FINE framework https://github.com/FZJ-IEK3-VSA/FINE. Your tasks in detail: Implementing geothermal plants with material co-production in
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with industrial application using sensor systems, systematized software production and scientific production and writing, designing, building and testing laboratory prototypes for predictive maintenance
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protocol design and analysis. Prior experience with MEG or EEG is a plus. Good command of scientific English (oral/written). • Qualities: Autonomy, appetite for interdisciplinary work, organizational skills
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strategic raw material (CRM) deposits within Paleoproterozoic cover sequences that overlie an Archaean basement. Existing structural models for the cover rocks predict that crustal-scale fault and shear zone