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of Computer Science at Aarhus University has a strong research and education profile that spans theoretical and practical computer science. The Data-Intensive Systems group studies management and analysis of complex
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assessment in the bioeconomy. The position is based at the Department of Sustainability and Planning (PLAN) in Aalborg and starting 1 November 2026 or as soon as possible thereafter. Your work tasks As a
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platforms in the green transition. The PhD project is expected to contribute to research on strategic management, partnerships, ecosystem collaboration, and green transition. Empirically, the project will
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research and an outstanding publication record. Evidence of success in gaining external research funding and experience of managing research projects is expected, as is the ability to nurture international
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processing of ecological data, including geospatial, remote sensing, genetic and other data Retrieval, integration, management, and archiving research data in line with FAIR principles Designing and
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possible thereafter. The appointment is for a period of three years. The successful candidate will be enrolled in the PhD programme in Biostatistics and Epidemiology at the Faculty of Medicine
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scripting (R, Python) and programming. Experience with High-Performance Computing (HPC) environments and the management/analysis of large datasets. The ability to communicate effectively in English (both
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• Participate in the department’s research environment • Complete a PhD training programme • Teach at one or more of the department programmes Your main task as a PhD student will be to develop and complete a PhD
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of data-based technologies and IoT in Smart Farming systems. The main tasks include: 1) operations optimization (logistics, route planning, supply-chain management); 2) the application of remote sensing
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. This includes active participation in the research activities, i.e. developing, implementing, and managing research projects and contributing to external fund raising. Additionally, the successful candidate must