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Models for Multi-Modal Reasoning This project explores the integration of graph-based foundation models (e.g., knowledge graphs) with large language models (LLMs) to build AI systems capable of reasoning
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Postdoc: Geospatial AI Modelling & Uncertainty Quantification of Carbon Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 32 to 40 Application deadline
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22 Aug 2025 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Mathematics Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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New York University in Abu Dhabi, Mathematics/Science Position ID: NYUAbuDhabi -POSTDOCTORALFELLOW [#26802] Position Title: Position Type: Postdoctoral Position Location: Abu Dhabi, Abu Dhabi
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of the near critical Ising model, or the massive Thirring model. Qualifications We are looking for applicants with a PhD in mathematics or theoretical physics, with experience in mathematically rigorous
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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supervision of Dr. Anita Schuchardt to conduct an NSF funded research project related to instructors’ and students’ sensemaking of mathematics in sciences. In general, the post-doctoral researcher will be
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materials modelling. We will work to develop new Li-rich 3D cathodes by controlling local ordering in disordered rocksalt compounds. All applications must be made online using the Oxford University E
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simulation, with strong skills in mathematics Highly proficient in Matlab/Simulink for system modelling Experience with (stationary) battery storage systems is required Prior exposure to HIL systems is a
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, Mathematical Modelling and Self-Learning Systems, and Data Science and Analytics as well as a strong PhD programme. The Mathematics Group comprises nine permanent members of staff working across the areas