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on the combination of Reinforcement Learning (RL) and Model Predictive Control (MPC). It will build up upon the work done at ITK on the topic. Several research focuses are considered: verification pathways in RLMPC
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research focuses are considered: verification pathways in RLMPC, risk management with RLMPC, sample efficiency and optimized exploration, latent state and belief state embedding in RLMPC. Are you motivated
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complementary and synergic methods at the intersection of Artificial intelligence, Machine learning, Numerical simulation, Formal verification. Such methods include, among the others: AI-guided simulation
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). A complete list of all publications and/or other documented relevant activities. Signed verification document . Test scores TOEFL/IELTS (conditions for a TOEFL / IELTS waiver here: Language
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other documented relevant activities. Signed verification document . Test scores TOEFL/IELTS (conditions for a TOEFL / IELTS waiver here: Language requirements ). Please note that all documents must be
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implementation. You will address the following research challenges: Monitoring mechanisms enabling continuous inspection and verification Theoretical foundations for updating mechanisms that preserve reliability
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data science and material design into a research approach of data-driven membrane discovery that includes material space construction and exploration, candidate selection and verification, providing data
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which compelling security considerations apply. The selected candidate must therefore undergo an assessment of personal security suitability. In this context, verification of identity, academic
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of personal security suitability. In this context, verification of identity, academic transcripts, and other submitted documentation will also be conducted. About the application The attachments (including a
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of personal security suitability. In this context, verification of identity, academic transcripts, and other submitted documentation will also be conducted. About the application The attachments (including a