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in working with large data sets and the development of numerical models. Basic knowledge of glaciology or geodesy. Good expertise in programming, e.g. in Python, MATLAB, or other high-level programming
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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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Job Description If you are passionate about marine technology, data analytics, and ecosystem research, we have an opportunity for you! DTU Aqua invites applications for a PhD position focused on
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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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language processing approaches to analyse large-scale textual data from scientific publications, patents, industry documents, and policy sources. The work includes creating reproducible workflows for processing
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optimization of SERS substrates, Raman measurement, data analysis, and validation of results with reference methods such as high performance liquid chromatography (HPLC). You are expected to have a solid
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interdisciplinary environment, which offers fantastic scientific and social interactions with a large group of talented researchers. Further information on the Niels Bohr Institute is found at https://nbi.ku.dk