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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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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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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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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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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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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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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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the Department of Clinical Oncology, School of Clinical Medicine (Ref.: 532954) Applicants should possess a Ph.D. degree, preferably in Bioinformatics, Genetics, Genomics, Evolutionary Biology, Mathematics
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission