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postdoctoral researchers interested in exploring the origins of human behavioral diversity, developing empirically-informed models of human behavior, and designing innovative institutions and policies
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STEM classrooms. The study uses Social Network Analysis (SNA) to model relationship formation and collaboration patterns, with a specific focus on Multiple Regression Quadratic Assignment Procedure (MR
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on the development of mathematical and computational models of biological systems. This position is supported by an NIH Virtual Consortium for Translational/Transdisciplinary Environmental Research (ViCTER) grant, “In
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protein structural insight with hands‑on ML development: adapting and applying state‑of‑the‑art structure prediction and design frameworks, training/fine‑tuning models, and running scalable computational
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of the facility, and including validation and calibration of models with experimental results. Where to apply Website https://sede.udc.gal/services/electronic_board/EXP2026/004415 Requirements Research
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from this PhD project into an agent-based model. This model will be developed by other PhDs in the project team and simulates household adaptation behaviour over time in global flood-prone regions
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and Intelligence (PLI), an initiative of the Princeton Laboratory for Artificial Intelligence. PLI pursues research on the study, design, and evaluation of large AI models (especially language models
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NAME_FAMILY NAME) : https://nextcloud.univ-lille.fr/index.php/s/ezJxfSBwTjkJCnt Key words: solidification, recycled aluminum alloys, induction heating, thermal simulations, 3D modelling, mechanical testing
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for students with MSc degree with reference number BI|2026/881 under the scope of the Projet SALVE: Securing Artificial Language Models Against Vulnerability Encoding (2024.14936.PEX), funded by Fundação para a
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HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both