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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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the sources of outbreaks, and c) identify potential drug targets for prophylactic or therapeutic purposes to prevent colonization or limit the spread of these infectious agents. The project seeks to map how
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management Milk and meat analyses Livestock systems Experience in working as a member of a multi-disciplinary team Ability to initiate, conduct, and publish research in high impactful journals and to obtain
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) technology. The successful candidate will contribute to a multi-disciplinary team focused on HPGe crystal growth, detector fabrication, and applications spanning from fundamental physics to emerging quantum
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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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, efficiency enhancements result in rebound effects due to feedback between enhanced efficiency and food system economics. The successful candidate will collaborate in a multi-disciplinary, international team
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and neural activity. In particular, Postdoctoral AI Researchers may help develop brain foundation models that predict patterns of neural activity from large-scale, multi-regional recordings. Areas
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team and contribute to IDEAS (Intelligent Data Exploration Assistant for Science), a multi-year research effort focused on developing AI-powered visualization systems that enable interactive, human-in
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on the development of cutting-edge AI-ready/agentic infrastructure for data and model discovery, model metadata extraction, and scholarly intelligence. The project will explore conceptual frameworks and system
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PostDocs on the development of cutting-edge AI-ready/agentic infrastructure for data and model discovery, model metadata extraction, and scholarly intelligence. The project will explore conceptual frameworks