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Field
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Unravel the complexity of valve disease in heart failure using Digital Twin technology. Help transform how cardiologists decide when and how to treat patients through personalized computer
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? Generative AI and large-language models (LLMs) are about to turn computer-aided engineering into true human–AI co-design. In the new MSCA Doctoral Network GenAIDE we team up with Honda Research Institute
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distribution modelling Experience with spatial analysis and mapping tools (e.g., QGIS, ArcGIS, or spatial packages in R/Python) Interest or experience in applying AI or machine learning methods to ecological
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include: Implementing the classical components of the Sample-Based Quantum Diagonalization [1] method within the MiMiC multiscale simulation framework Developing and integrating a communication interface
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monitoring system with contactless sensor which can be integrated to existing data acquisition system enabling to monitor wind turbine health as well as estimating remaining useful life (RUL). This PhD project
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, making use of economic theory and state of the art econometric methods. The Department of Economics has a strong research-oriented faculty working within microeconomic theory, macroeconomics, econometrics
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equivalent) in Media Studies, Digital Humanities, Visual Culture, Human-Computer Interaction (HCI), Cognitive Psychology (with a focus on perception or sensory studies), Immersive Media / Virtual Reality
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, making use of economic theory and state of the art econometric methods. The Department of Economics has a strong research-oriented faculty working within microeconomic theory, macroeconomics, econometrics
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 2 months ago
induces reduced footprints for processors and less space for the battery. On the audio processing latency front (iii), DNN inference is notoriously slower for real-time audio DSP than “traditional” methods
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biological data, development of deep learning and large language models for biological discovery or graph-based methods for molecular and cellular networks. The technological foundation further consists