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Job Description Applications are invited for a National Science Foundation funded (LEAP HI Program #2051685), Postdoctoral Associate position with the System Performance Laboratory (SPL
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Hands-on experience with two-dimensional materials modeling Proficiency in database development and management for computational materials data Strong programming skills and experience with software
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understanding and practical experience in machine learning, foundation models, and agentic AI technique. Demonstrated publication record in machine learning field. Excellent programming and computer
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30 Dec 2025 - 23:59 (UTC) Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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. At the heart of our program is the GLICO (Glioma-in-a-Cerebral-Organoid)platform, a system we pioneered where patient-derived glioma stem cells are grown within human cerebral organoids. This high-fidelity model
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areas of nanoscience and nanotechnology. Job title: Postdoctoral Researcher - AI Development for Materials Design Research area or group: Theoretical and Computational Nanoscience Group Description
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 5 days ago
within protein-nucleic acid complexes. Journal of Chemical Theory and Computation. [3] Mokhtari, O., Grudinin, S., Karami, Y., & Khakzad, H. (2025). DynamicGT: a dynamic-aware geometric transformer model
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(IDH1/2) genes and this project focusses on how these mutations re-program liver cells, in the context of biliary cancer. We are using CRISPR-edited human cells and novel transgenic models in mice
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programming skills Preferred Qualifications Track record of top-tier machine learning publications Experience with machine learning on medical images Experience designing language model or vision–language model
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minimum of one year eligibility remaining. • Strong background in computational modeling, AI-assisted modeling, microbial testing, or paper chemistry and structural evaluation. • Experience with fiber-based