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technological change driven simultaneously by digitization, the application of artificial intelligence and machine learning to all facets of company, economic, and human data, and a new emphasis on the importance
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expertise in research using artificial intelligence. This is an exciting opportunity to join a growing department that has expertise in cutting edge areas including substance use and HIV, genetic epidemiology
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This field encompasses Computer Science, Data Science, Artificial Intelligence, and related interdisciplinary areas, with a focus on computing technologies, software development, algorithm design
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on evidence-based medicine and clinical applications of artificial intelligence in healthcare. Requirements and qualifications: Possess relevant PhD degree in Chinese Medicine or equivalent from a recognised
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position of Lecturer in Digital Humanities and Artificial Intelligence. Work assignments The lecturer will teach courses related to digital humanities and artificial intelligence. They are involved in
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algorithms, mathematics of artificial intelligence, advanced optimization for decision making, matrix and tensor algebra, and the intersection of these areas. Close interaction with permanent research
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Systems) platform https://www.ietr.fr/en/m2ars-manufacturing-measurement-analysis-radiati… , with experience in advanced antenna metrology and prototyping. The PhD student will conduct a literature review
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interface between life science, data science, artificial intelligence and humanities and social sciences, as well as transferable skills - An enthusiastic team of professionals to co-operate with - Personal
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capabilities such as artificial intelligence are also highly relevant. Even though the doctoral candidate is expected to use a socio-technical approach, we stress that the study is particularly occupied with
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LLM Agents: Foundations, Attacks, and Defenses”. Your work assignments Large language model (LLM) agents represent the next generation of artificial intelligence (AI) sys- tems, integrating LLMs with