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against dynamic loads and fire impacts Research and development of AI-optimized, energy-efficient and sustainable small-batch gasification technology Development and Investigation of Wide-Bandgap
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integrate custom AI copilots and conversational agents. Develop, fine-tune, and evaluate LLM-based chatbots and domain-specific AI assistants. Document AI system designs, experiments, code, and processes
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learning, optimization, training pipelines, evaluation metrics, and validation strategies. Experience with multimodal AI (CV, NLP, tabular, sensor or IoT data). Familiarity with MLOps, versioning tools
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the ability to optimize chemical structures and predict their energy levels and spatial charge distribution; Extensive experience in the synthesis of novel organic semiconductor structures for use in OLED
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, as well as understanding how these processes shape the labour market. The research outcome will focus on developing an Agent–Human Sandbox platform, based on standardized scenario simulations and
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semiconductors. Their layers are inherently flexible, potentially cheaper to manufacture, and can be processed from solutions. The aim of the planned research is the formation of active layers from organic