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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 19 days ago
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about Artificial Intelligence, Machine Learning
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seeks a distinguished scholar for a faculty position at the Full Professor level. The ideal candidate will be at the forefront of research that integrates modern machine learning methods with economic
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Responsibilities: Teach selected graduate courses within the multidisciplinary masters degree programs. See website for details of programs: http://www.coe.neu.edu/graduate-school/multidisciplinary Responsibilities
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systems, and space applications. We combine theory, physics-based simulations, machine learning, and autonomous workflows to understand and design materials that can perform under conditions where
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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | 9 days ago
creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools for semantic search, interpretation
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 1 day ago
infrastructure you will have the opportunity to make an important contribution for a healthier society. The Theis Lab has a long-standing reputation for pioneering machine learning and AI methods in molecular
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motivation. Consistency in meeting deadlines and responding in a timely manner. Innovation: Possession of a natural curiosity to learn and a continual pursuit of personal and professional growth in the field
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License No If yes, what is the required licensure/certification? Required Computer Applications: Microsoft Excel, Microsoft Word, Microsoft PowerPoint, Microsoft Outlook Required Other Computer Applications
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been revolutionized in recent years by machine learned interatomic potentials (MLIP), and questions that were impossible to tackle five years ago can now be addressed. The state-of-the-art approach