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Job Description The Department of Civil and Mechanical Engineering of the Technical University of Denmark (DTU) has an open PhD position on the topic of “Automation of tool wear measurement and data
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Job Description We are seeking a talented and highly motivated PhD student to work in the field of transient astrophysics with a special focus on large transient surveys in the era of big data
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that seamlessly integrate devices on ground, air, and space. This project aims to contribute to a flexible architecture based on O-RAN that leverages digital twins for the on-the-fly adaptation of large-scale 3D
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peatland systems. This project will combine computational and experimental approaches, leveraging the large-scale Microflora Danica dataset combined with samples taken from sites undergoing restoration. You
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the research team of the Marine Ecology Group that manages large-scale ecosystem restoration projects in several Danish estuaries. The candidate must have an MSc degree in biology or equivalent and should have a
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thereafter. The project The PhD project is mainly based on data from the Generation Healthy Kids project, a large-scale 2-year school- and community-based multi-component, multi-setting intervention among
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of this position will be the investigation of meteorological phenomena impacting the wind energy sector, in particular with respect to wind resources and wind conditions. For example, investigating how large-scale
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to the building of that area focusing on the local, national and international risks to democracy in the twenty-first century. Thus the project might address a large number of themes, including for instance
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advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological systems
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and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data