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Field
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, or similar languages for data analysis Proficiency in scientific English (written and spoken) is a must, German and/or French is an advantage Willingness to spend several months at other institutions abroad
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performance utilizing reliable and computationally efficient numerical structural models. To support the condition (state) assessment, you will also explore the use of advanced estimators (e.g., Kalman Filter
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of the nonlinear structural performance utilizing reliable and computationally efficient numerical structural models. To support the condition (state) assessment, you will also explore the use of advanced estimators
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The research project focuses on advancing seismic resilience strategies for industrial facilities by integrating and validating base isolation techniques. The doctoral candidate will numerically and
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with a surface. This project will involve using and further developing both the experimental and data analysis methods that are currently used within the research team. The student will learn how to use
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with five partners. The focus of the doctoral program is the analysis of the spatial and temporal variability of decontamination efficiency in different soil materials on a flow cell scale. The results
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offered in this context, with the objective of modelling, coding, and field-validating a new mechanistic analysis tool for pavements containing fungal-bound granular layers. The research will focus on urban
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The Weierstrass Institute for Applied Analysis and Stochastics (WIAS) is an institute of the Forschungsverbund Berlin e.V. (FVB). The FVB comprises seven non-university research institutes in Berlin
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analysis, UV-Vis and fluorescence spectroscopy, nitrogen adsorption–desorption isotherms at 77 K, thermogravimetry (TGA), perfilometry and electrical measurements, also including knowledge in data
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analysis and determination of HIV clonality in HIV-infected cells to understand the mechanistic link between low-level protein expression and immune activation. Your Tasks: • Perform and analyze