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Research Focus We are offering a Postdoctoral position in graph machine learning, algorithms, and graph management with particular focus on: Modeling real-world spatio-temporal energy networks Developing
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fellow will conduct research on Algorithmic Verification of Concurrent Systems within the Programming Languages, Logic, and Software Security Research Group at Aarhus University. The focus of the position
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devices. Responsibilities include: designing, building and troubleshooting Arduino-based hardware assisting in the development of electronic circuits and sensor systems supporting the testing, debugging and
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2-year postdoctoral position working on cutting-edge research in IoT sensor networks for critical infrastructure monitoring and mission-critical control systems. Expected start date and duration of
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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analysis to translate THz signals into optical material properties such as refractive index and absorption coefficient. Development of machine learning algorithms for material classification. Exploration
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conditions for art and culture. Possible focal areas include AI and algorithmic creativity, digital media aesthetics, data-driven culture, new forms of the dissemination of art, literature, theatre and music
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environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental sustainability. You will focus on processing
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intelligent control and aerial robotics for navigation in uncertain environment. You will be mainly responsible for implementation of machine-learning algorithms for unmanned aerial vehicles; validation
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invertebrate ecology or similar. Familiarity with a range of sensor technologies and innovative ecological monitoring approaches is essential, as is experience with emerging molecular techniques such as