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Royal Netherlands Academy of Arts and Sciences (KNAW); yesterday published | Netherlands | 7 days ago
of this response is the cardiac fibroblast, a supportive stromal cell that plays a crucial role in the scar-forming process. While we have made significant progress in understanding the biology that separates
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2025, in the exercise of my powers, pursuant to the provisions of Article 92, in point d), number 1 of Law No. 62/2007 of 10 September and Article 30, in point j), number 1 of the UTAD Statutes, approved
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with expertise in digital signal processing methods, and machine learning methods for amplitude and phase noise characterization of optical frequency combs, recovery of dual-comb measurement signals and
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surgery. This PhD position will focus on the health monitoring system development mainly based on multimodal physiological signals, for instance, inertial measurement unit (IMU), electrocardiography (ECG
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research team investigating the role of gut microbiota-derived metabolites in cellular signaling processes, with a particular focus on aortic pathologies and endothelial integrity. PROJECT: This project aims
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. Here we will apply these tools to the investigation of ubiquitin signalling in selected biological contexts, including the processing of DNA polymerase-blocking lesions during DNA replication and the
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student will become part of a team at DTU with expertise in digital signal processing methods, and machine learning methods for amplitude and phase noise characterization of optical frequency combs
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one pdf file). Please indicate the job announcement ID (3163). Review of applications will begin on November 1, 2025, and continue until the position is filled. If you have any questions, please contact
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processes in the spatial-temporal patterns of tree-ring water isotope series”. Forests regulate the water cycle through transpiration, and understanding which water sources trees use is crucial in the context
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in advanced methods for the analysis and classification of EEG and auditory signals. The group of the project is multidisciplinary, with experts in signal processing, machine learning, acoustics and