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projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be excluded based on these checks. Primary checkpoints are the Export Control regulation
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. Experience with programming, modelling, statistical analysis, or the use of data analytics, machine learning or artificial intelligence methods is desirable. Personal qualities Strong ability to follow through
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within social innovation, social connection and quality of life, as well as the Senior Technology Acceptance Model (STAM). The project will contribute to the development of age-friendly technology
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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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analysis. Specifically, the project will: Develop novel, modular statistical solvers to integrate domain-specific knowledge directly into latent variable models. Account for spatial structures, physical laws
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with over 60 companies. The research will focus 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
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and their interactions with peptides. This primarily includes small angle X-ray and neutron scattering (SAXS/SANS) along with theoretical model analysis including the use of multi-scale and artificial
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9th March 2026 Languages English English English The Department of Electric Energy has a vacancy for a PhD Candidate in Multi-market modelling of power systems with large amounts of wind power Apply
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probabilistic behavioral models for verification, performance evaluation, and optimization using model-checking techniques, ultimately bridging static system design and dynamic operational analysis. We offer
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on robustness, reliability, and trustworthiness. Developing evaluation methodologies that combine quantitative metrics with qualitative expert assessment. Investigating model behavior, failure modes, and