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disease data. At the Technical University of Denmark, we are creating online solutions for real time sharing and analyses of genomic data for all bacteria and viruses across the globe. If you want
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a large number of stakeholders. Excels at building trust, inspiring collaboration, and motivating other colleagues. Thrives in environments where time is limited and priorities shift rapidly. Is
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in glaciology, Geodesy, Earth sciences, remote sensing, or a related field. Strong skills in data analysis, programming, and handling large geospatial datasets are essential. Experience with satellite
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to mutual agreement). The position is a full-time position. You can read more about career paths at DTU here . Further information Further information may be obtained from Prof. Stephan Sylvest Keller, DTU
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outputs in lidar technology and real-time wind-field reconstruction. Expert in wind turbine response analysis. HAWC2 user expert. Demonstrated expertise in data analysis and signal processing with large
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. Experience within development of biofilters to enhance methane oxidation is particularly relevant. Also, the work entails generation of large datasets, whereby management of such are relevant. You will be part
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meetings Potentially participate in Arctic field campaigns Be working with large data sets and developing algorithms. You should be highly motivated, self-driven, and possess strong work ethics, team spirit
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Job Description The microbial community of the world's oceans represents a large and underutilized resource for versatile and robust enzymes with potential technological applications. Despite high
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(lubricants, gear oils etc.) from machinery like wind turbines. When we want to remove oil droplets, we need them to merge (coalesce) as big drops are easy to remove. Surfactants can either promote or hinder
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this project, we will develop neural diffusion techniques to design materials with targeted optical properties, scaling to large systems through efficient representations and GPU parallelization. We will also