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, robust event detection, and modeling shifts across sessions and users. Job description Develop machine learning pipelines for time series processing with a focus on event detection and real-time
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the state-of-the-art of model-based planning support for transport and urban systems under uncertainty. The doctorate will develop new tools and methods that integrate large-scale agent-based modelling
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track. We then develop and evaluate a robust cannabis-driving detection model before and while driving. Ultimately, we are working towards a scalable digital biomarker platform for in-vehicle driver state
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through the development of strategies for long-term data quality improvement and data curation, including persistent identifiers for organizations, researchers and funding Supporting the writing of reports
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maintenance, development and implementation of new analytical methods and new data analysis strategies are part of the responsibilities, as is the participation in the training and teaching of graduate students
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to developing next-generation microbial technologies for the degradation of persistent pollutants like PFAS. Using environmental isolates and advanced microbial screening, we engineer bacterial consortia for use
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the know-how from electronics and MEMS processing. While successful for linear optics, nonlinear and quantum metamaterials require the usage of different materials platforms that demand development of new
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the development and use of biodiversity data infrastructures how justice considerations can be integrated into global biodiversity monitoring and decision support systems The postdoc role is designed to offer both
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. Dagmar Iber, which uses advanced imaging and computational tools to develop data-driven, mechanistic models of biological systems. Located in Basel, the Department of Biosystems Science and Engineering (D
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essential for procedural success. Due to challenging imaging conditions, the quality of endoscopic videos can be significantly compromised by a range of artifacts. This project seeks to develop the next