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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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Research Laboratory (AFRL) Cognition and Modeling Branch is offering a Research Fellowship at Wright-Patterson Air Force Base, Ohio. What will I be doing? As an Oak Ridge Institute for Science and Education
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support of the project’s research goals and objectives Assist with developing a knowledge synthesis of existing resources (example ) for Sustainable Studio Practices to support architectural model making
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knowledge for sustainable formulation design. Using different data-driven feature representations, AI foundation models will generate chemical embeddings to predict key physicochemical properties. Coupled
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The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in merging soil physics knowledge and data-driven modeling of soil processes and properties, starting
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE MEDICHE VETERINARIE | Italy | about 2 months ago
1.2, the work will establish a murine AD-diabetes comorbidity model and generate metabolic and cognitive datasets. Objectives include: establishing diabetic models (STZ and HF diet), serial glucose
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compressed into lightweight student models using knowledge distillation, enabling efficient real-time inference on mobile devices. The distilled models will be deployed and optimized on mobile platforms, with
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Many machine learning (ML) approaches have been applied to biomedical data but without substantial applications due to the poor interpretability of models. Although ML approaches have shown
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2026 (there is some flexibility) The Jozwik lab studies visuo-semantic cognition combining cognitive science, neuroscience, and computational modelling. The lab’s research has focused on probing specific