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Field
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‑on experience in AI / machine learning development (excluding PhD); proven expertise in machine learning and generative AI methodologies (in the range of: LLMs, RAG systems, agentic AI, feature engineering, model
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mathematics. You will undertake a single, ambitious research project: to begin the formalisation of the local Langlands correspondence for GL₂(F) in the Lean interactive theorem prover by leveraging AI agents
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exploited by intelligent physical systems, such as robots, vehicles, and distributed autonomous agents, to perceive and interpret their environment and support timely physical action. A central objective will
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 18 hours ago
Intelligence and the Life Sciences. We are building an AI-native, closed-loop research engine where automation, computation, and intelligent agents work together to decode, model, and rewrite biological circuits
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. The PhD position is available in the NWO-funded VIDI project GPS4FoodSafety, which is focused on studying novel routes towards achieving molecular selectivity in ambient ionization for portable mass
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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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chemical warfare agents (CWAs), allowing for safe working outside of the lab. However, it is currently poorly understood how to model the interaction of CWAs with supramolecular hosts with respect
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be detected. Some applications may require the use of gaseous anaesthetic agents such as isoflurane and desflurane. This also imposes demands on the chemical compatibility of the materials used. In
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exploited by intelligent physical systems, such as robots, vehicles, and distributed autonomous agents, to perceive and interpret their environment and support timely physical action. A central objective will
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an engineering perspective into a prioritized roadmap. Execute Agentic AI-Driven Technology Testing & EDA: Lead short, hypothesis-driven prototyping and exploratory data analysis (EDA) using real or representative