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Twins & Energy Analytics Forecasting & Optimization Algorithms Green Hydrogen Technologies ICT Applications in Energy Systems GIS Applications in Energy Planning Interdisciplinary and innovative research
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be the Head of the Computing Unit. About the project This PhD position is part of the EU Horizon project CIRES, which brings together leading academic and industry partners to develop new technologies
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participation of citizens. You will focus on developing adaptive learning systems that enhance the transparency and contestability of AI decisions through personalized, multimodal explanations. Your job AI is
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
scientists developing computational simulations in various fields will be encouraged, in particular with the Gysela code, which is part of the ITER project. The project will first focus on dimensionality
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look forward to receiving your application! Do you have a background in machine learning and interested in telecommunications? You have a chance to contribute to development of sensing methods for new
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development experience, and simulation/prototype development experience in MATLAB, Python, and/or OCTAVE and experiences in system level simulation and testing. Focus on problem solving and self-motivated
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industry partners to develop new technologies supporting the objectives of the EU Chips Act. The project focuses on strengthening Europe’s capabilities in semiconductor technologies and intelligent computing
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, bringing together emerging talent and senior researchers with decades of pioneering contributions. The group develops cutting-edge algorithms, frameworks, and prototype technologies that leverage high-volume
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event-based cameras. 2. Developing the first-ever AI/ML algorithm to predict the transition in real time. This will be implemented in benchmark transient multiphase flows, such as bubbly flows, turbulent
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-of-information metrics. Propose computational algorithms to estimate these metrics. Design and execute simulation studies to evaluate the above. Develop and test statistical software. Write user-friendly guidance