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funding availability. Key Duties and Responsibilities Lead and manage innovative research projects in BIM and LLM; Collaboratively develop LLM-based platforms for BIM modeling checking; Assist in crafting
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Laboratory seeks a postdoctoral appointee to join a multidisciplinary team developing complex systems models, including agent-based models, and new algorithms and tools for machine learning and optimization
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approaches (e.g. ODE/PDE-Modelling, Agent Based Modelling) Experience in mathematical analysis of data-driven methods Solid experience in programming (R, Matlab, Python, etc.) Competence in working in inter
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of delivering drugs or therapeutic agents to intracellular “undruggable” antigens, thus overcoming conventional antibody-based therapy limitations. Specific Objectives Identify and validate intracellular antigens
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expertise in Large Language Models (LLMs), Agentic Systems, as well as strong interdisciplinary teamwork skills and communication skills. About the Stanford NLP Group: Stanford NLP Group focuses on basic
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are recruiting an exceptional post-doctoral researcher to lead technical development in our pioneering project creating the first computational framework for simultaneously modeling Icelandic speech and sign
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Researcher to join the group. The research project is concerned with the challenging problem of modeling the complex modern radio environment, where a diverse set of devices and agents share the available
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, and agent-based modelling have paved the way for innovative collaborations between social scientists and computer scientists that jointly seek to answer fundamental questions of the social sciences and
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learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised learning Federated learning The Postdoctoral Researcher will be primarily based
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Framework (RDF). enables advanced data mining queries using the SPARQL query language. provides a natural language-based interface to perform these queries on the knowledge graph using a large language model