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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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attention to your onboarding. If some of the work activities are new to you, we will look together at what you need, and draw up a development plan. This position is a good fit for you if you recognise
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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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able to further develop your skills in econometrics and quantitative as well as qualitative methods (e.g., surveys and interviews). Have a basic working knowledge of the Dutch language, because the data
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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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; 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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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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a dynamic and innovative institution of higher education offering high-quality teaching and research. Flexible study programs and academic career opportunities in a wide variety of disciplines
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such as Problem-Based Learning (PBL). Both the Dutch and English programs are highly ranked by students and alumni. ESSB is home to over 4000 students and more than 400 staff-members. The different