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and ultimately accelerate these activities to combat climate change. Our approach combines science and engineering, beginning with the study of fundamental microbial metabolic processes that can be
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classification for hyperspectral and fluorescence lifetime datasets. Optimize algorithms for batch processing and scalability, enabling high-throughput, automated analysis of large image datasets from fluorescence
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as a decision is made, we will notify you. If you are still eligible after the pre-selection, you will be informed about the possible next step(s) in the selection procedure. If you have any questions
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and concerns about the dominance of the highly educated. Against that background, this PhD project aims to achieve a better understanding of the particularities of education-based status processes by
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. We leverage advanced technologies like semantic data processing, signal processing, and network resource management to enhance performance. To optimize and analyze complex 6G networks, we use AI/ML
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the development of advanced ultrafast tools and techniques with the goal to exploit them for the investigation of fundamental light-matter interaction processes occurring on the femtosecond timescale. The doctoral
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involvement in research activities) in one or multiple areas mentioned above. In addition, we request the following expertise: Convex/non-convex optimization Signal processing and general communications
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of CLiPS, which focuses on the application of statistical and machine learning methods, trained on corpus data, to explain human language acquisition and processing data, and to develop automatic text
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heterogeneity has been widely studied using transcriptomics approaches, however, the exact microglial subtypes involved in physio and pathophysiological processes remain to be elucidated. By applying spectral
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are the consequences of remote work and always-on-connectivity on people's everyday lives? How do these affect social institutions such as the home, family, household and friendship, as well as broader processes