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, presentations, and reports to the funding agency. Minimum Qualifications Required PhD in microbiology, biochemistry, chemical engineering, or a related field. Demonstrated publication record of scientific
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Ludwig Princeton Branch, Princeton University | Princeton, New Jersey | United States | about 1 month ago
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federally funded research projects focusing on analyzing, visualizing, and mining data from real-world (e.g., EHRs) and experiments that profile the molecular state of human cells and tissues by
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development within the SEDAN group ( https://www.uni.lu/snt-en/research-groups/sedan ). The ideal candidate will have expertise or a strong interest in artificial intelligence, machine learning, and digital
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developed key methodologies in data mining, social-network analysis and mathematical optimization. The department is also internationally known for work in supply-chain design, transportation, and
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experimentally. The research will be broadly situated in machine learning, including (but not limited to) algorithmic knowledge discovery, graph mining and social network analysis, optimization for machine
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approaches, including LLM-based solutions, for scientific text mining, multimodal integration of literature and biological data, and knowledge extraction to support discovery.Collaborate with
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in the use of big data. It brings together AI researchers and Digital Humanities scholars to seek solutions to the problem of inadequate data-mining tools we have, aiming to derive information from the
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machine learning approaches for neural data mining and brain modeling, theoretical neuroscience and biological intelligence. Track record of collaborations with experimental labs and synergy with research