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                Field
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                22 Aug 2025 Job Information Organisation/Company Reykjavik University Department Human Resources Research Field Computer science Researcher Profile First Stage Researcher (R1) Recognised Researcher 
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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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                animation tools, and GPU-based high-performance computing at MPI. You will also be embedded in a rich theoretical and computational environment supported by the Multimodal Language Department.Requirements 
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                animation tools, and GPU-based high-performance computing at MPI. You will also be embedded in a rich theoretical and computational environment supported by the Multimodal Language Department.Requirements 
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                animation tools, and GPU-based high-performance computing at MPI. You will also be embedded in a rich theoretical and computational environment supported by the Multimodal Language Department.Requirements 
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                in the field of computational political science. Position You will assist in the ongoing research project DEMO-LIES on the link between political representation and political disinformation, funded by 
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                emphasis on programmability and the characterization of AI capabilities in CPUs, GPUs, and dedicated accelerators; Identification of computational patterns suited to AI-enhanced processors and standalone 
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                Researcher (R3) Country Morocco Application Deadline 1 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU 
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                or large language models Experience with GPU-based model training or cloud computing Knowledge of synthetic biology or regulatory sequence design Previous collaboration with experimental biologists 
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                libraries for modern architectures (e.g., GPUs). Exploration of linear algebra methods in computational physics applications and machine learning. Integrate and benchmark the GINGKO library, a sparse solver