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microscopy and atom probe tomography will be prepared. Finally, you will merge the images by means of deep learning algorithms. Your tasks in detail Development of the experimental protocol for the imaging
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institutions in five European countries and will be supported by a network of industrial and academic partners. About the position The objective of this project is the development and application of soft sensors
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. Such multimodal energy sources will become increasingly vital over the next decades, not only as sources of renewable energy but also for high-tech applications, such as powering unattended wireless sensors
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tasks Further development of the sensor based on aerosol separation technique and field effect transistor Use aerosol measurement technique, electron-beam lithography and cleanroom equipmen Design of
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models. The scientist will conduct research using machine learning and classical parameterization methods on data from ocean gliders equipped with microstructure turbulence sensors, turbulence resolving
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programming and know how to use version control. ▪ You are experienced in the usage of machine learning (e.g., Actor-critic algorithms, deep neural networks, support vector machines, unsupervised learning
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the environment, including traffic conditions, travel time, and cost. The project will define the DRL components (states, actions, rewards, policies), select and implement suitable DRL algorithms, and integrate
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://steglelab.org ). The project is executed in collaboration with the main partner of the TARGET-AI project at Helmholtz Munich, as well as supporting groups at the University of California, Berkeley and the German
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, Quantum Sensors Appl Deadline: 2025/09/31 11:59PM (posted 2024/09/24, listed until 2025/09/31) Position Description: Apply Position Description The position (post-doc, research associate, or PhD student
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prediction of queue dissolution by combining traffic flow theory with data from roadway and AMOD sensors, nonlinear optimization of the signal plan, cooperative control of traffic signals and AMOD vehicle