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learning, foundation models, including large language models, agentic AI, multi-agent AI systems, transfer learning, self-supervised learning, and federated learning. The Postdoctoral Researcher will be
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Demonstrated expertise in socioeconomic dynamics of smallholder livestock systems. Familiarity with systems thinking, system dynamics, agent-based modeling, or other approaches for analyzing complex social
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(CNNs), Transformers, large language models (LLMs), and Vision Language Models (VLMs) Develop Retrieval Augmented Generation (RAG) models and agentic AI Developing manifold learning (e.g., tSNE and UMAP
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more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world
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dynamics and agent-based modeling approaches. Demonstrated ability to communicate complex technical findings to both scientific and applied audiences. Proven success mentoring undergraduate or graduate
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health records. Medical Reasoning and Grounding: Developing advanced post-training and alignment techniques (RLHF, DPO, GRPO) to ensure foundation health models reason accurately and safely. Agentic
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knowledge of developing AI-based information systems, such as AI-enabled engagement e.g., agentic AI and AI-enabled insight generation e.g., machine learning analytics in both individual and organizational
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-time Doctoral Researcher position. This role focuses on developing a nationwide, versatile foundation health model using Finland's national health databases. The fixed-term position starts based
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, information technology or a related field or has a foreign degree that is considered equivalent to a PhD documented experience in research in simulation-based modeling and optimization of complex industrial
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research questions. “GenAI4Earth” will go beyond the state-of-the-art by designing, deploying, and operating trustworthy, reusable GenAI services within the EOSC ecosystem, built on FAIR data, models, and