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Field
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classical waves, forming a new regime of dispersive wave interactions. Thus, the nature of bandgaps in boundary layer flows remains unclear and unexplored. The main objective of this project is to
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estimation using multi-track Sentinel-1 (C-band) and NISAR (L-band) data. Implement and extend dynamic InSAR processing workflows for near-real-time analysis, including quality control and anomaly detection
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for hypergraphs and partially ordered sets (POSets), funded by the Swedish Research Council. This project is concerned with saturation problems for two classes of combinatorial objects: hypergraphs and posets
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: Youtube, Google Formål: Collects information about the users and their activity on the website. The Information is used to track and analyze user behavior, to meet the individual user needs and to deliver
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: The main objective of this PhD project is to use a globally unique and most extensive (1974 onwards) airborne environmental DNA (air eDNA) dataset from Sweden, to test if the air-eDNA method can be used as
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, eye-tracking, pupillometry, fNIRS, and psychophysiological assessment – alongside cognitive modelling and regulatory analysis. This combination of cutting-edge neuroscience methods with legal and