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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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8 Jul 2026 Job Information Organisation/Company Saarland University Department Data Driven Simulation and Analysis in Material Science Research Field Computer science Researcher Profile Established
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on the HASRL framework and the empirical taxonomy developed by the PhD candidate. Model training and fine-tuning. Fine-tune large language models on annotated educational datasets collected during the project
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Keystone project on Addressing socio-technical limitations of Large Language Models (LLMs), particularly for medical and social computing https://adsolve.github.io/ ). The current role involves augmenting
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, our SW Simulators, and our facilities. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role The successful candidate is expected to assume a key role
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of records (BSc, MSc, PhD)•Other information for consideration (e.g., a list of publications) Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60709003?hl=en Requirements Research
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are looking for candidates to have the following skills and experience: Essential criteria 1. PhD qualified in a relevant subject area, such as theoretical physics, computational physics, quantum information
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science. The postdoc will work on a variety of projects, which may include methods for large language models, the impact of artificial intelligence on society, as well as broader questions surrounding
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Rights, the Department of Education’s Office of Civil Rights, or both. More information, resources, and contact information are available here: https://ccr.wsu.edu/notice-of-nondiscrimination/
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Science, or Information Science, with no more than five years post receipt of the PhD. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science, Big Data