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Field
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The eBRAIN Lab (https://ebrain4everyone.com ) in the Division of Engineering at New York
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conduct, privacy, record-keeping, complaint resolution, and investigations. Proficiency with Canvas, various AI and LLM platforms, and AI detection tools. Proficiency with web and social media platforms
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development of the section and department. Taking on an appropriate share of administrative and organisational responsibilities. Where to apply Website https://www.academictransfer.com/en/jobs/363364/assistant
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the integration of AI components transforms the nature of software systems (SE4AI). From an architectural perspective, the research investigates how the inclusion of AI elements—such as LLMs challenges conventional
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additional postgraduate degree in Law (e.g., LLM, PhD, D Phil and SJD). Those who do not have an additional postgraduate degree in Law are also encouraged to apply if there is evidence of a strong publication
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experience in several of the following topics (ordered by importance): Large language models and LLM-based agents Human-AI interaction, human-computer interaction and human factors Reinforcement learning and
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Processes (CLARA). This interdisciplinary project investigates how AI — specifically large language model (LLM)-based agents — can act as adaptive social agents to support students' collaborative learning in
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needed. Perform user account management duties for the UT network, Outlook, and other systems as required. Support development of utilizing artificial intelligence (AI) and large language models (LLM
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additional postgraduate degree in Law (e.g., LLM, PhD, D Phil and SJD). Those who do not have an additional postgraduate degree in Law are also encouraged to apply if there is evidence of a strong publication
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or vanish over centuries? In this position, you will develop, evaluate, and fine-tune cutting-edge AI methods—LLMs, word embeddings, and clustering—to track how word meanings evolve across multilingual