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Field
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will be physically located in both places during their employment. Our Research The Natural Language Processing Section provides a strong, international, and diverse environment for research within core
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who are passionate about doing science. We are anchored within the Department of Biology, which is similarly international and diverse, and where the primary working language is English. We run modern
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inspiring international research environment, in relation to two externally funded projects: ‘Natural-language Assisted Human-Multirobot Interaction and Planning’ (NAMUR) (DFF-Independent Research Fund
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, established to conduct world-leading basic science research. With approximately 1,800 researchers across 30 research centers, IBS has rapidly gained international recognition, appearing in Nature Index's Rising
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collaboration Fluent in English (spoken and written) Demonstrated ability to publish in international journals and present at conferences What we offer: Ambitious and varied tasks in a dynamic and international
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field. Strong background in machine learning, particularly deep learning and natural language processing. Experience with transformer-based architectures (e.g., BERT, GPT) is highly desirable. Proficiency
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Grant LUMIN. This cutting-edge interdisciplinary project aims to understand charge transport in the natural mineral feldspar, unlocking new ways of measuring the rates of Earth surface processes — from
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Nature of the Netherlands, Wageningen University, and Wageningen Marine Research. It aims to develop: (1) a validated prototype of an instrumented beam equipped with a multi-channel flatfish detection
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About the FSTM The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine
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oral and written English skills We offer international working environment with communication in English and German interesting career opportunities and a range of opportunities for further qualification