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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | about 2 months ago
-powered research agents for bioinformatics and bioengineering (Bock Lab , CeMM/MedUni Vienna) Building on our CellWhisperer method for chat-based exploration of single-cell data (Schaefer 2025 Nature
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delivery and translational cancer research, within a dynamic, inclusive and clinically directed research environment. You will be responsible for: Developing and characterising flexible lipid-based
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at the interface of microbubble formulation chemistry, acoustics, and biomedical engineering, advancing hemoglobin-based microbubble platforms from in vitro proof-of-concept toward in vivo validation
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | about 2 months ago
bioengineering (Bock Lab , CeMM/MedUni Vienna)Building on our CellWhisperer method for chat-based exploration of single-cell data (Schaefer 2025 Nature Biotechnology ), we develop agentic AI and “virtual cell
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population vulnerability. The postdoctoral researcher will play a central role in connecting behavioural decision-making with environmental exposure assessment through the development of an Agent-Based Model
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prototype knowledge graph-based retrieval for cross-document entity relationships (fund → manager → counterparty → regulatory status) · Experiment with multi-agent orchestration for parallel due
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necessary for its scientific activity, as well as the design, development and use of instruments. The PhD student will work in the RAPHYNEE (RAdiochemistry and PHYsics for Nuclear Energy and Environment
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package III develops and tests remedies against the harmful effects of this rhetoric, using generative agent-based simulations and AI-chatbot-based dialogue experiments. The two postdocs advertised in
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skills to drive EAI innovations. Design, develop, and teach laboratory sessions and practice-based modules in Robotics & Embodied AI and related areas. Secure and manage research grants to support applied
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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