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two projects share the goal of developing stable and reliable perovskite-based tandem photovoltaics, while maintaining complementary scientific responsibilities. FZJ focus: automated and data-driven
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requires an unprecedented computing and storage infrastructure. Processing these enormous amounts of data in a future data center, however, consumes significant resources. The fundamental challenge is: How
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Your Job To make reliable predictions and analyses of air pollution, data assimilation methods, which integrate observational data into model simulation to update the model state and the underlying
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relates to mesoscopic cortical dynamics, including oscillations and spatiotemporal activity patterns. By developing and applying advanced causal discovery methods for complex time-series data, you will
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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designing and evaluating machine learning models for benchmark grids and, depending on data readiness and project progress, by testing them on a real campus network with high-quality consumption and
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below and above its Néel temperature. The goal is to disentangle magnetic and structural contributions to electron diffraction data and to compare the results with measurements recorded using X-rays and
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Your Job The successful candidate will have the opportunity to combine prospectively acquired data with existing multimodal datasets and contribute to replication studies, biomarker development
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different types of experimental data to establish reliable methods for identifying physically meaningful model parameters and assessing model accuracy under dynamic operating conditions. In a later stage
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prediction. In this thesis, you will focus on the quantification of model uncertainty, that arises from limited knowledge and the quantification of data uncertainty, that arises from data-inherent