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or mechanical engineering well above average and you should have experience in agent-based modelling and simulation. Fundamental knowledge of the key disciplines in aerospace engineering and especially in airport
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electrolysis. As an MSc student, you will design and implement a suite of AI “agents” (autoencoders, statistical models, LSTMs and LLM-based rule engines) that process historical and live sensor data (voltage
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-Lab)" includes FM-based (multimodal) agent systems/multi-agent systems. In particular, research will focus on improving the tool utilization capabilities, planning capabilities, reasoning capabilities
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with reducing and oxidising gas-phase species (e.g. laser-based imaging diagnostics, setup of model reactors, modelling of underlying reactions, multi-scale simulation of reactive fluids, computational
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modelling approaches, agent-based modelling), Joint publication of results across PAs in scientific journals and policy paper series; Support the complementarity between the diverse SES modelling aspects
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and verifiably safe. We consider resilience and intelligence to be part of the same process. What you will do Advancements in agent-based AI approaches are gaining significant attention in industry due
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, Python and/or Stata skills; Optional: Interest and experience in formal modelling (game theory, agent-based modelling); Competent handling of MS Office applications. Our offer Remuneration in accordance
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Your Job: ...to revolutionize applications of the physical sciences through tailored large language models (LLMs) and intelligent agentic systems. Your tasks in detail: Development and fine-tuning
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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
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analysis of mobility behavior, the application of agent-based models and road space analysis, particularly for road safety. Research on walking and cycling as a cross-cutting issue has a high priority in all