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language processing (NLP), and fine-tuning techniques Familiarity with structured reasoning, chain-of-thought processes, and agent-based systems is beneficial Strong programming skills (preferably Python); experience
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will be the agent-based model AgriPoliS (Agricultural Policy Simulator), developed at IAMO to investigate long-term structural change in agriculture under varying market, policy, and environmental
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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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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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the MATSim agent-based transport simulation framework. The main task is to enable simulated agents to choose transportation modes, such as car, bus, bike, or walking, based on real-time feedback from
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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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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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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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, 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