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The primary objective of this project is to enhance Large Language Models (LLMs) by incorporating software knowledge documentation. Our approach involves utilizing existing LLMs and refining them
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We invite you to apply for a 2-year postdoctoral position in the area of hybrid AI, combining modern language models (LMs) with ontologies and knowledge graphs (KGs). The position is part of a newly
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aerosol–cloud interactions, model development and high-performance computing, while producing publishable research and contributing to knowledge exchange with the wider modelling community. Please note that
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appointment be authorized by the competent authority at the Ministry of Higher Education, Research, and Innovation (MESR). Development of a multi-fidelity and multi-model approach for headwater catchments
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project - “Towards efficient large model training via learning from small model”. He/She will be required to: (a) conduct research on knowledge distillation and transfer learning from small models
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within a Research Infrastructure? No Offer Description Despite the success of large-scale pre-training, Vision-Language-Action (VLA) models often exhibit limited generalization when deployed in novel
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R), as well as solid knowledge in numerical modelling and statistics; Proficiency in English, both written and spoken; Knowledge of hydraulic modelling, risk science, or meta-modelling would be
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: Computational Linguistics, Language Acquisition, Cognitive Modeling, Machine Learning The Department of Linguistics at the University of Michigan invites applications for a one-year Postdoctoral Research Fellow
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Knowledge, Skills and Behaviours Demonstrable experience in quantitative or computational modelling Strong programming skills (e.g. R, MatLab, or similar) Ability to develop and analyse mathematical
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on what characterizes intelligence in humans and AI and develop neuro-cognitive methods and formal models to describe the similarities and differences? Join us! We are looking for a PhD candidate to join