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benchmarked through comparisons with traditional PSHA models. The work will involve developing reproducible open-source codes and participating in an international research network linking seismology, geodesy
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health promotion Employee events (events for networking and celebrating as well as specialist presentations) Accessibility and commitment to diversity and inclusion The minimum monthly salary
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Natural Language Processing, Language Models, Information Retrieval, Deep Neural Networks, Computer Science, or related discipline; Proven affinity and/or experience with LLMs; Willing to work both at
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DWI-Leibniz-Institute für Interaktive Materialien e.V. | Aachen, Nordrhein Westfalen | Germany | 6 days ago
dynamic, interdisciplinary, and international research environment with state-of-the-art infrastructure Exciting and challenging tasks with access to internal and external networks, training opportunities
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Regular/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Postdoctoral Research Associate: Mathematical Foundations of Data Analysis in
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and guidance system for these micro-swimmers, interacting with real-time optical visualization in a microfluidic network. • Study of the fidelity of the movement of micro-swimmers to the set trajectory
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genetics research, and has a strong international network to enhance gene identification, interdisciplinary gene characterization and early biomarker discovery. We are seeking a highly motivated, critical
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Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The laboratory of Curtis Hughey in the Division of Molecular Medicine, Department of Medicine aims
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into a heating network. The various stages involve designing, building and testing an innovative heat storage process, and characterising its behaviour and performance. The researcher recruited will be
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Requisition Id 15472 Overview: We are seeking a Postdoctoral Research Associate who will contribute to the development and implementation of novel tensor network algorithms and their combination