218 model-driven-engineering-"Data-driven-Materials-Modeling" Postdoctoral positions in Netherlands
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capabilities interact with operational conditions, human intervention and the wider maritime and port logistics systems. The postdoctoral researcher will develop data-driven and model-based approaches to support
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on nature driven building skin (façade) solutions for the NWO project Nature 4 homes. This is a 5.5 years project, starting in november 2026 and coordinated by Delft University of Technology. You will
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or synthetic network modelling. Experience in converting or interfacing models between different simulation tools. Experience in contributing to courses and training. TU Delft (Delft University of Technology
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Postdoc: AI-driven Urban (Re)Design for Health Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40 Application deadline: 15
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-modelling skills with an interest in societally relevant freshwater challenges. You bring: A PhD in hydrogeology, physical geography, earth sciences, civil or environmental engineering, or a closely related
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data to learn contextual representations of microbes and communities and translate them into predictive models for successful crop microbiome engineering. Your job Plant-associated microbiomes can
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microbiome and genome data to learn contextual representations of microbes and communities and translate them into predictive models for successful crop microbiome engineering. Your job Plant-associated
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Eindhoven University of Technology invites applications for a postdoctoral research position within the recently NRO-funded project AI as a Social Agent to Support Group Learning Processes (CLARA
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and relevant ML frameworks (e.g., PyTorch, HuggingFace Transformers, LangChain). Experience with model fine-tuning, prompt engineering, retrieval-augmented generation (RAG), and with agentic AI and AI
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antigens presented by MHC molecules. This curiosity-driven project develops cutting-edge AI technology for 3D TCR–pMHC modeling to improve neoantigen identification, TCR specificity prediction, and TCR