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, curriculum, and lifelong learning Agentic foundation models, tool use, self-improving or self-updating AI models Representation learning, cross-modal alignment, and multimodal learning Your profile Excellent
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
efficient training of multimodal and foundation models Self-supervised, contrastive, continual, curriculum, and lifelong learning Agentic foundation models, tool use, self-improving or self-updating AI models
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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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in order to steer the emergent behavior of a collective. The base of the PhD project will be numerical simulations of active systems, where machine learning will be used as a tool to better understand
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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