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Field
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, higher-order network methods and large-scale language-model training on a knowledge graph of scientific publications, patents and related innovation data. The appointed researcher will lead DII's
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on the mathematical theory of deep learning as part of the joint NSF-EPSRC project “DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
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. This project is funded by the European Space Agency (ESA) and is and is fixed-term for 24 months. The project “TMNT – Threat Monitoring Networked Team” will develop multi-robot scouting approaches to explore and
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or soon-to-be completed Knowledge and experience in experimental research involving chemical or process systems Familiarity with process instrumentation, sensors, controls, or data acquisition systems
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review Characterizing and correcting for observer-, sensor-, and habitat-specific sources of detection bias The incumbent will have access to multiple datasets, including passive acoustic recordings from
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placed on multi-omics data integration, statistical modeling, biomarker discovery, pathway/network analysis, and development of reproducible computational workflows. This position provides an excellent
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environment. We offer A dynamic and stimulating work environment Access to state-of-the-art research facilities and laboratory resources Opportunity to collaborate with world-class scientists through a network
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integrating transcriptome, chromatin access and transcription factor binding datasets at bulk and single cell resolution with the aim to connect these profiles with the underlying regulatory networks, and
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on developing, implementing, and applying tensor-network and related quantum-dynamics methods. Applicants may indicate a preference for one project or ask to be considered for both. The start date is flexible
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funded NIH R01 project dissecting the SOX4/SOX9 transcriptional regulatory network that governs biliary development in Alagille syndrome and advancing the therapeutic potential of targeting this network in