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interoperable methodological framework for AI in gynecological oncology. We integrate symbolic knowledge representation (Ontologies/Knowledge Graphs) with Retrieval-Augmented Generation (RAG) and Large Language
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Deadline 20 Nov 2025 - 23:59 (UTC) Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This project contributes to the EU Horizon Europe project 'Investigating
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you can say yes to some of the points below, it is highly beneficial: Proficiency in programming languages, preferably Python. Capable of analyzing large datasets Knowledge of AI and machine learning
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fellow will conduct research on Algorithmic Verification of Concurrent Systems within the Programming Languages, Logic, and Software Security Research Group at Aarhus University. The focus of the position
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. The project is situated with the Creator Economies Lab, and the working language of the project is English, although data collection will also include Japanese and Spanish. The postdoc will lead a sub-project
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statistics, including programming in commonly used languages such as R. A valid category B driver’s license, enabling fieldwork in Sweden and abroad. Very good oral and written proficiency in English
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life programming. Read more about the research here (https://portal.research.lu.se/en/persons/rashmi-prasad) Work duties and responsibilities At Lund University, a postdoctoral position should provide
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. ● Prior experience with Oncology applications strongly preferred. ● Strong motivation for research and experience in managing research projects. ● Strong programming skills in one or more languages
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the environment. Knowledge of characteristics associated with mild cognitive impairment capturable with digital interfaces. Experience with agentic large language models Experience in artificial intelligence