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applications. Experience in natural language processing, model evaluation, or experimental design is advantageous. Proficiency in Python and/or R and familiarity with AI/ML libraries or generative AI platforms
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from equally qualified candidates with disabilities will be given preference. General information on professorships, hiring processes, and the German academic system can be found here: https://uni
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or timsTOF instruments), in the operation and maintenance of (MS-coupled) nano(U)HPLC chromatography systems as well as in the analysis of LC-MS data Basic knowledge of a programming language and experience in
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an indicative research theme: Artificial Intelligence – Natural Language Processing or Explainable AI. This is a professor position at RTU with a guaranteed centralized funding for a six-year full appointment
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the recruiting process in connection with this position. *** Chalmers University of Technology in Gothenburg conducts research and education in technology and natural sciences at a high international level. The
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indicators for major European economies using large language models, natural language processing and large collections of newspaper articles. Focusing on leading newspapers in the UK, Germany, France, Italy
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laser systems. For more details, please view https://www.ntu.edu.sg/eee. We are seeking a Senior Research Fellow to lead the design and development of chip-scale laser systems for quantum sensing under
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technologies. The project employs an interdisciplinary approach based on collaboration among specialists in text and image analysis, natural language processing, large language models, vision-language models
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processing, network resource management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks
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and willingness to teach courses in German and English International experiences and commitment to internationalisation of the university in teaching and research Commitment to active participation in