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studies, designing and implementing complex immunological assays, analyzing data from clinical cohorts, and generating impactful publications. As part of a dynamic and multicultural team of international
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- based neural networks, Bayesian statistics, and text analytics are a must. Nice to Have: Experience developing and integrating APIs for healthcare systems to ensure seamless interaction with AI models
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approaches to assessing the human pancreas, including live pancreas slice methodologies that may include cellular imaging or labelling approaches Leveraging complex multi-modal phenotyping data to develop new
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of Luxembourg, the Greater Region, and beyond. Nearly all research projects are supported by a network of national and international partnerships, several with public or industrial stakeholders. At the University
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activities towards quantum information systems. Use cases of interest include IoT verticals, unmanned aerial vehicles, integrated satellite-space-terrestrial networks, quantum communications and key
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
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the approximation over time, (2) Energy-based optimization that balances accuracy and mesh complexity, or (3) Graph-based techniques that seek near-optimal connectivity structures for mesh representation. • Recent
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of seed gene networks”. This project aims to use reverse genetics, cross-species complementation and single cell next-generation sequencing approaches to investigate how the gene networks that regulate
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renewable, benefits-eligible position. The University of Chicago Knowledge Lab leverages advanced computational tools to unravel complex scientific and societal problems, bridging the gap between data-driven
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Associate Professor of Experimental Physics Focusing on AI-Based Research of Biomolecular Structures
obtained and to solve complex macromolecular structures, the development and use of artificial intelligence and machine learning will increasingly be required. FAU and HZB are jointly appointing a