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the loop and using active learning to determine which demonstrations to collect. The candidate would work on both projects and be responsible for: Implementing AI and probabilistic ML algorithms Development
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electricity price signals, demand-response mechanisms, and time-of-use optimization. AI-Driven Optimization using Reinforcement Learning: Apply RL algorithms to develop and train agents that optimize power
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-capacitors, additive manufacturing, and energy technologies, in addition to the aforementioned. The department is an exciting environment, where you will be exposed to many different fields and have your
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(entities) given the rules and the rules given the molecules. The aim of this project is to develop a theory and accompanying algorithms to decide if an abstract system can be instantiated by a concrete
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algorithm development in the biomedical context. We are particularly, but not exclusively, interested in candidates with competence in multi-modal data integration, including electronic health records, omics
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Job Description Postdoc position in Innovation and Artificial Intelligence The Algorithms, Data and Democracy project (ADD) and Center for Organizational Datafication and its Ethics in Society
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biased, outdated, or sensitive data? That's where the project TRAI comes in. This research project aims to develop machine unlearning algorithms to selectively erase specific knowledge from trained AI
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”, i.e. being capable of performing with very high efficiency all year round thanks to their advanced control system, through: the demonstration of a dedicated control algorithm for ejector-equipped
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and fabrication. The ideal candidates have extensive experience with: Programming of IO boards (STM32, Pixhawk, BeagleBone, etc.) in different programming languages (C++, Python, etc.), MATLAB/Simulink
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algorithms and techniques. In the future, there will be opportunities to integrate quantum computing techniques. This opportunity is ideal for those looking to use their passion for software engineering in a