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. While grid-forming (GFM) wind turbine generators contribute to voltage and frequency regulation, they may exhibit significant nonlinear large-signal behavior during disturbances, including current
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complex interaction patterns that may carry important biological information. By integrating deep learning, genome-wide simulations, functional genomics, and large-scale biobank data, AI:GENOMIX aims
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bioelectrochemistry, a process utilizing electrochemistry to drive redox reactions catalyzed by enzymes. This technology has a large potential ranging from health (biosensors, biofuel cells) to “power-to-X
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PhD Stipend/Integrated Stipend in representation, compression, learning, and inference for classical and quantum data. At the Technical Faculty of IT and Design, Department of Computer Science, one
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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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research experience and must not have a doctoral degree. Your work tasks The energy transition poses fundamental challenges for our power grids: large conventional power plants with synchronous generators
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spaceborne Earth observation (EO) systems rely on highly sophisticated instruments on board of few large and extremely expensive spacecraft, fundamentally limiting the constellation size and, consequently
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of Computer Science, the Technical Faculty of IT & Design. We invite applications for two fully funded PhD stipends in the area of Natural Language Processing (NLP), Knowledge Graphs (KGs), and Large Language Models
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tasks The scope of the PhD position(s) fall within the areas of novel low-complexity neural network architectures, generative audio techniques, and the integration of large language and speech foundation
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candidate is expected to hold: A master degree in biomedical engineering or computer science, Excellent programming skills (Python). Experience with data curation, large-scale datasets, and machine learning