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Field
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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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. Investigates the feasibility of applying a wide variety of scientific principles and theories. Maintains substantial knowledge of state-of-the-art principles and theories. Develops advanced analytical models and
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modern machine learning and a strong record of research accomplishment who are excited to build brain foundation models and other AI systems that advance our understanding of neural activity, brain
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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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of computing and healthcare. Methodologies of interest include: multi-modal learning, foundation models, including large language models, agentic AI, multi-agent AI systems, transfer learning, self-supervised
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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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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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members. As the projects mature and evolve, the incumbent will also participate in the development of molecular probes as potential diagnostic agents for use in preclinical rodent models for drug discovery
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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