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on information and digital technologies (computer science, automation, robotics, artificial intelligence). Its aim is to develop methods for the representation, analysis, and control of systems subject to various
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Decision-Making Toolbox for General Purpose Robot AI), and the selected applicants will be members of the Computational Intelligence group led by Professor Alexandros Iosifidis , and closely collaborate with
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We offer a fully funded PhD student position within the Trustworthy Software Engineering (TruX) Research Group headed by Prof. Dr. Tegawendé F. Bissyandé. The position is embedded in a broader
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PhD in Computer Science, AI, Machine Learning or related field Experience Strong track record of publications in top-tier venues (e.g. CORE A*) Expertise in reinforcement learning, AI agents, and LLM
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industrial partners working at the intersection of AI and digital education. Mandatory requirements Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Computational
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machine intelligence into working AI solutions? We have launched a pioneering research and innovation hub in AI—one that will shape the way humans and machines collaborate for decades to come. Led by Prof
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(written and spoken). Sound informatics background at advanced user level of the Office package (Word, Excel, Power Point, etc.) and data analysis software Strong teamwork skills, ability to adapt
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Department of Land Surveying and Geo-Informatics Research Assistant Professor in Geospatial Artificial Intelligence (GeoAI) / Geomatics / Global Change Ecology / Urban Science and Sustainability
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and data-driven developer tooling. More precisely: The candidate should hold a Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Computational Linguistics, Data Science
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and skillset. Other duties as assigned. Minimum Qualifications: Research Assistant Professor – A) An earned doctorate (PhD) in nursing is required; B) Demonstrated expertise in the indicated area of