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to contribute to our mission and vision. Come join us! Responsibilities Core Duties: This project focuses on Unsupervised Representation Learning to automate data curation for the SURGE framework. The intern will
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- Generative AI and natural language processing - Computer vision - Knowledge representation and reasoning, and knowledge graphs - Automated planning - Robotics and autonomous systems A familiarity with the
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more about us at: https://steuerrecht.univie.ac.at/ Your future tasks: You will actively contribute to research, teaching, and administration, which means: Participating in research projects and academic
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, creating a unified, coherent, and enriched representation of the user’s intent within the context of the surrounding environment. This fusion will enable a better understanding of the usage context and
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such as Machine Learning, Natural Language Processing, AI in Education, Knowledge Representation, and Python-based analytical seminars at the BSc, MSc, and PhD levels. Responsibilities include assisting in
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-representation of people living in low-middle income settings in genetic NMD cohorts. We have created a comprehensive genetic and phenotypic database of participants from around the world, and we connect experts
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process of transforming the IFC format into knowledge graph format. Provide support in static and dynamic data integration tasks for digital twins. Where to apply Website https://seuelectronica.upc.edu/en
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Stipend/Integrated Stipend in representation, compression
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pipeline for transforming large-scale mouse behavior video data into standardized (canonical) representations that can be integrated with neural and physiological measurements. This project builds
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completion of the eighth grade. Experience in food preparation and serving the public. Preferred Qualifications 1-3 years customer service experience. 1-3 years food preparation experience. Knowledge, Skills