292 data "https:" "https:" "https:" "https:" "Robert Gordon University" uni jobs in Denmark
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experimental methods such as viromics and metatranscriptomics. The data will be linked to soil and emission data to help create predictive models. Within a broader framework, your work will contribute
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) Data-driven and AI-assisted methods for power electronics Across the above areas, you are expected to contribute to model-based and data-driven/AI-based methods, including digital twins, physics-informed
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optimization of production systems and supply chains, including digital twins, virtual system validation, process modeling, and data-integrated decision models. Research should explicitly support managerial
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, timing, power, and sign-off) Hardware accelerator development for deep learning, edge AI, and data-intensive workloads Energy-efficient and high-performance accelerator design Hardware–software co-design
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administrative staff, and students. You should also be structured and meticulous in your work, which is essential when collecting and managing research data. Qualifications You are expected to hold a MSc or PhD
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with teamwork in a great team Additional information Your place of work will be the AU International Centre at Høegh Guldbergs Gade 4a in Aarhus. The position is paid according to state agreements. Who
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integrated circuits, which may include: design, simulation, and experimental validation of analog and mixed-signal integrated circuits and systems; low-power and high-performance data converters, sensor
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conducting various types of experiments on seeds of diverse crops. Experience of image analysis, and analysis of seed longevity and germination data will be an advantage. You should have good organizational
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Langelandsgade 140, 8000 Aarhus C, and the area of employment is the Department of Chemistry, Aarhus University and related departments. Further information about the position may be obtained from Associate
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-drive systems. Across the above areas, you are expected to contribute to model-based and data-driven/AI-based methods, including digital twins, physics-informed learning, data analytics, and AI-assisted