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for machine learning, autonomous, causal, and agentic intelligence, as well as interaction with humans, markets, and society at large. Our core mission is to educate and empower the next generation of
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or experience in LLMs, tool-using agents, or agentic workflows. Experience in optoacoustics, ultrasound, optical imaging, spectroscopy, or related technologies. Interest in entrepreneurship, innovation transfer
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agent-based models to understand how RNAs and ribonucleoprotein (RNP) assemblies regulate gene expression, cellular behavior, and subcellular organization. Integration of transcriptomics, ribonomics
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-directional collaboration in education and research. Ph.D. students will work in a highly interdisciplinary environment, combining AI/ML, edge computing, cognitive science, and human–computer interaction. In
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. The energy is continuously injected at the level of the individual particles or agents, keeping the system out of equilibrium. Examples of active matter include bacterial colonies, cytoskeleton formed by
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research focus may include the following areas: Fine-tuning of large language models on rewards derived from social interactions or collective outcomes Evolutionary adaptations of AI agents in social
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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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European Molecular Biology Laboratory (EMBL) | Brandenburg an der Havel, Brandenburg | Germany | about 2 months ago
experimental, computational and theoretical approaches to study how cells and organisms interact with each other and respond to fluctuating environments. EMBL has a track record in establishing landmark data
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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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in the Department of Bioengineering at Helmholtz Munich . Our group focuses on the development and application of genetically encoded agents, primarily for photoacoustic and fluorescence imaging.We use