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applications. Develop and refine automatic evaluation techniques that enable the continuous assessment of LLM performance, particularly in terms of accuracy, relevance, and robustness in scientific contexts
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Quantum Theme, focusing on Next-Generation Quantum Systems. The successful candidate will lead efforts to discover and design quantum emitters with desirable properties for quantum information science (QIS
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, and spatial transcriptomics. Key responsibilities include: Developing AI/ML methods for image alignment across modalities Automated feature detection Predictive modeling of vascularization patterns
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spectroscopy are preferred. Experience with electron spin resonance and optically detected magnetic resonance. Familiarity with fiber optics, photon counting and related electronics. Experience with advanced
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in detection and analysis of rare noble gas isotopes through Atom Trap Trace Analysis (ATTA), an efficient and selective atom counting method based on laser cooling and trapping. This position will
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, clustering techniques etc.) Preferred skills in: Data analysis and/or scientific visualization (e.g. feature detection and tracking of high-level structures, classification, statistical summaries, comparisons