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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE | Italy | 2 days ago
joints under transients of load current and voltage; 2) the refinement of an existing comprehensive algorithm developed in Matlab environment for life and reliability modelling of HVDC cables under typical
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. Development of optimal management algorithms for such systems to provide behind-the-meter and above-the-meter services. Where to apply Website https://careers.polito.it/ Requirements Additional Information
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research activity is aimed at developing
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proficiency in programming languages (e.g., Python, C/C++), knowledge of control algorithms and/or existing architectures (e.g., ArduSub, ROS2) for autonomous navigation, and the ability to develop innovative
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such as audio, event-based vision, and inertial measurements, together with user gaze information. Artificial intelligence algorithms will be developed to fuse and interpret these heterogeneous modalities
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proficiency in programming languages (e.g., Python, C/C++), knowledge of control algorithms and/or existing architectures (e.g., ArduSub, ROS2) for autonomous navigation, and the ability to develop innovative
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the Job related to staff position within a Research Infrastructure? No Offer Description The research activity will focus on the development of mathematical models and Artificial Intelligence algorithms
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The activity involves the development of motion planning
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algorithms for information gathering problems involving one or more rational autonomous agents. The objectives include: the development of learning algorithms; the study of their theoretical properties
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algorithms for problems related to information markets involving multiple rational autonomous agents. The objectives include: the development of learning algorithms; the study of their theoretical properties