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large language models, with proven experience in designing and implementing LLM-based autonomous agents. They should be proficient in Retrieval-Augmented Generation (RAG) systems, including vector
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analysis of novel model-based behavioural, and neuroimaging (fMRI/MEG) experiments in healthy people to examine the brain mechanisms of motivation and apathy. In addition, the post holder may also be
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, specifically: 1) agent knowledge structuring; 2) alignment and orchestration of AI agents based on small-scale generative language models (SLM) 7. Applicable legislation and regulations: Research Fellow Statute
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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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tailored to scientific modeling workflows. Rather than deploying AI as a black-box predictor, we propose a physics-aware AI agent architecture that interfaces directly with ISSM’s modular components
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European Molecular Biology Laboratory (EMBL) | Brandenburg an der Havel, Brandenburg | Germany | about 2 months ago
modelling, foundation models, cross-domain/-modality learning, explainable AI and mechanistic interpretability, representation learning, Bayesian inference, causal inference, active learning, AI-based agents
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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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, foundation models, including large language models, agentic AI, multi-agent AI systems, transfer learning, self-supervised learning, and federated learning. The Research Assistant will be primarily based
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for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range
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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