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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Stipend in machine learning methods for the analysis
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PhD Stipend in machine learning methods for the analysis of IoT time-series data. At the Technical Faculty of IT and Design, Department of Computer Science, one PhD stipend in machine learning
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of Real-time stream data analysis within the general study
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transient stability analysis frameworks for GFM wind turbine generators under grid faults. This poses the following key research questions: How can large-signal models of GFM wind turbine generators be
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. Conventional small-signal models are therefore inadequate, motivating large-signal modelling and transient stability analysis frameworks for GFM wind turbine generators under grid faults. This poses
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. During the project, you will engage in field work to survey different types of ponds, collect samples for molecular analysis (e.g. eDNA analysis), and undertake computational research. It is expected
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analysis utilizing methods rooted in artificial intelligence (i.e. machine learning and deep learning). The analysis will be the basis for developing a predictive model to help select the most optimal method
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into the transport, deposition, and long-term storage of plastics in the deepest parts of the global ocean. Relevant experience in (micro)spectroscopic analysis, image analysis, or environmental particle analysis will
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in-situ monitoring data, ex-situ characterization data and failure data from aggressive loading of AM samples. The activities will span across exploratory data analysis, mathematical model building
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streams and generate data for analysis and model validation. The project is embedded in the international research projects BeyondBattRec and SpurUp, so you will collaborate with partners across