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combining Transformers [5] with Neural ODEs, resulting in an end-to-end modelling framework. Transformers are particularly effective at capturing complex long-range spatiotemporal dependencies within
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its rich information content, conventional analysis methods have not yet fully realized its potential. This research project aims to develop a robust AI foundation model based on modern Transformer
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transformation paths that are necessary to address the challenges posed by climate change Present research findings at national and international conferences, utilizing effective communication skills to convey
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the economics of innovation or digital transformation. Our team is dedicated to exploring the effects of innovation and digital transformation on the economy and society, focusing on how the state can design
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simulate, and eventually manipulate wave propagation under realistic scenarios by intertwining analysis and numerics. The proposed doctoral project concerns the mathematical analysis of dispersive phenomena
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welcome) Entgeltgruppe 13 TV-L/75% to be filled. Starting date is 10/1/2025. The position is for three years. The positions are advertised as part of the Research Training Group 2491 "Fourier Analysis and
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welcome) Entgeltgruppe 13 TV-L/75% to be filled. Starting date is 10/1/2025. The position is for three years. The positions are advertised as part of the Research Training Group 2491 "Fourier Analysis and
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- looking. Sensor technology plays a key role in this transformation, enabling real-time monitoring, automation, and intelligent decision-making. Despite these needs, many water treatment processes still rely
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on cells of the innate immune system such as macrophages and neutrophils. In particular, we explore mechanisms of malignant transformation, cellular differentiation and the control of immune cell
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Mathematical Sciences at the University of Göttingen as well as the associated research training group "Fourier Analysis and Spectral Theory" and the collaborative research centre "Mathematics of Experiment