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, knowledge-driven models and AI-based decision support can be integrated to support resilient and energy-aware manufacturing systems. Special emphasis will be placed on multi-objective optimization, learning
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, such as multi-objective optimization, model predictive control, mixed-integer optimization, stochastic optimization, energy management, or production scheduling. Good knowledge of integrated energy
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Take the next step in your research career at the intersection of digital twins, multi-timescale system optimization, and integrated Power-to-X systems with special focus on the electrical
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of domain-specific data and knowledge. Develop new tabular foundation-model approaches where existing pre-trained models are insufficient, with a particular focus on transferability across heterogeneous
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral position in microfluidic RNAseq-based screening for optimal T-cell expansion
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research teams: 1) The AI Group: Experts in systems, control, optimization, Large Language Model (LLM) training, domain adaptation, and instruction tuning, agentic AI orchestration, and reinforcement
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or therapeutic proteins would be an advantage. - Knowledge of native mass spectrometry and/or ion mobility would be an advantage. # Practical skills - Design, optimize, and implement experimental protocols
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staff position within a Research Infrastructure? No Offer Description Activities and context The Post-Doctoral researcher will focus on the numerical simulation and optimization of supersonic separators
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Description Job description Game theory is rapidly gaining traction in several engineering applications as the natural framework for multi-agent decision making. Yet, unlike optimization, game theory has
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, investigating efficient adaptation strategies and the use of domain-specific data and knowledge. Develop new tabular foundation-model approaches where existing pre-trained models are insufficient, with a