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Field
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representation and individual differences using large-scale multimodal datasets and computational tools. Job Related Minimum Required Education and Experience Requires a Doctoral (Ph.D.) degree in area of research
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representation, and/or circulation of letters relating to the Flora Danica volumes based on archival research in Danish and Northern-European libraries and archives. The postdoc will be free to shape
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strains Co-representation and reporting of BPL results in consortium meetings Co-coordination of tasks with all consortium partners Profile PhD in molecular biology, microbiology or industrial biotechnology
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architecture and design for complex socio-technical systems Graph theory, network science, and knowledge representation Agent-based and simulation modeling AI/ML, foundation models, causal inference, and
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to benefit from local knowledge and prevent further escalation of conflict. For more details on the project, please see here . About the position: The Postdoctoral Researcher will have the following tasks
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skills: Good knowledge of ML/AI based techniques to develop fast surrogates (deep neural networks) and capability to develop own efficient model learning schemes (deep learning techniques, representation
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humanities team to engage actively in the development of the “Mapping Sonic Ecumene: A Visual Archive of Sound”. This involves mapping and archiving sonic and visual representations of songs across South India
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entities, such as robots, vehicles, or sensors, forms internal representations of space, time, and motion when interacting in complex non-stationary environments. The objective is to study and develop models
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., drag schemes, mesh resolution, feature representation); document improvements and limitations. Collaboration, mentoring, and dissemination. Collaborate with DOE E3SM, ICoM, and InteRFACE, projects as
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framework for AI in gynecological oncology. We integrate symbolic knowledge representation (Ontologies/Knowledge Graphs) with Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) to create