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students. More information is available at: www.cs.aau.dk. The DESS group focuses on data-intensive systems, spatio-temporal data management, data analytics, and applications of machine learning
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motivated to move the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning
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analytical and communication skills Ability to work both independently and collaboratively in an interdisciplinary team Further, we will prefer candidates with some of the following qualifications: Experience
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support the PI in both the strategic and operational aspects of project execution. Has strong analytical skills (e.g. statistics and data analysis) and experience with qualitative research and/or survey
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At the Technical Faculty of IT and Design of the Department of Sustainability and Planning, Copenhagen, a position as Postdoctoral researcher in Geospatial Machine Learning for Predicting Land Use
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dimensions of GGR and SRM to provide an urgently needed interdisciplinary perspective on their development. Our meta-analytical framework integrates insights from these disciplines to provide a comprehensive
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Help driving forward the department’s analytical and statistical expertise in remote sensing, LiDAR, AI tools, GIS, and spatial modeling. Take a main role in developing digital tools and methodologies
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intelligence within grid-connected power converters and variable-frequency motor drives with edge computing and machine learning capabilities. We offer a multidisciplinary, international, and friendly atmosphere
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refinement. Publish results in peer-reviewed journals and present findings at international conferences Required Qualifications PhD in proteomics, analytical chemistry, physical chemistry, or a closely related
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of strictly anoxic systems Microbial physiology assays, analytical chemistry and metabolomics Meta-omics approaches Fluorescence in situ hybridization (FISH, CARD-FISH) & advanced microscopy. Candidates with