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, graph neural networks) to match questions to relevant geodata workflows; integrate semantic web technologies (e.g. RDF, SPARQL, OWL), large language models and graph neural networks into the reasoning
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skills (e.g. Python, R, Matlab, or other relevant programming language); excellent communication skills and ability to work in an interdisciplinary environment. Desirable: experience with digital twin
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; Proficiency in a programming language; The desire to develop a career in academia or research; Aptitude for and interest in prospective interdisciplinary research; Ability to contextualise specialised areas
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the challenge of academic writing and publishing? In addition to English, do you speak any of Dutch, French, German or Portuguese? Would you like to be part of a dynamic and vibrant interdisciplinary team
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. This project is funded by the Advanced Research + Invention Agency (ARIA) as part of their Safeguarded AI program that aims to develop the safety standards needed for transformational AI. The successful
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programming, statistics, machine learning and big data approaches in the context of soil-vegetation-atmosphere interactions excellent writing and oral communication skills in English and strong ambition
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. This project is funded by the Advanced Research + Invention Agency (ARIA) as part of their Safeguarded AI program that aims to develop the safety standards needed for transformational AI. The successful
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geographic information . This requires close collaboration with the German teams in the project. Make dissemination of project results and propose exploitation strategies for the developed models and tool(s
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++ and Python programming languages. Experience in open source projects, GPU programming, distributed computing and cloud computing are considered to be strong assets. The position of Research Fellow at
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and proactive, with excellent interpersonal and communication skills, spoken and written; Excellent team player and warm community builder; Excellent English, spoken and written. Command of other