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Field
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must have a PhD (or close to completion) in Natural Language Processing. Prior work on temporal and longitudinal modelling and fine tuning of LLMs is essential while experience in working
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Hematopoiesis (www.lianglab.info ) Researcher career profiles (R1-R4): R2 Field of science: life science Type of recruitment: full time Requirements: The candidate shall possess a PhD degree in life science
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-scale nature, complexity, and heterogeneity of 6G networks, we use tools such as artificial intelligence/machine learning, quantum computing, graph theory, graph-signal processing, and convex/non-convex
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This 24-month postdoctoral position is a close collaboration between the National Police Lab AI (Floris Bex and Jelte Mense ) and the Natural Language Processing Group (Albert Gatt ) at Utrecht University
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candidate will have recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically
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commitment to integrating AI in their scholarship and instruction and may come from any discipline. A PhD is expected prior to the start date. The Postdoctoral Scholar will serve as one of the Initiative’s AI
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genes, individuals and populations, to communities and ecosystems. We work within ecology, evolution, physiology, systematics and combinations of these fields in order to understand the impact of natural
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international network of collaborators and visitors. Further information: Department of Computer Science: https://www.science.ku.dk/english/about-the-faculty/organisation/ Faculty of Law: https://jura.ku.dk
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data. • Work with metabolomics, proteomics, and dietary data. • Support the development of clinical trial intervention materials, including group education programming. • Implement natural language
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
. Numerical methods, in particular FEM-based stress analysis at initiation sites within the framework of local fracture approaches, provide a natural bridge between experiment and mechanistic understanding