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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater
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, or scientific publications Experience in statistical analysis of data including univariate, multivariate statistics Science communication skills proven publication record in international peer-reviewed journals
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underlying greenhouse gas fluxes Support training of young researchers in using biogeochemical observations and data analysis Write and contribute to international peer-reviewed publications Contribute
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@au.dk) Applicants must have a relevant PhD degree in biology, biogeochemistry, hydrology, glaciology, oceanography, geoscience or physics. Field experience, data analysis and programming (e.g., python
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engineering, data science, statistics, mathematics, physics or an adjacent subject, with focus on medical image analysis and/or deep learning. Furthermore, the following competences will be expected
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: Population genetics, evolutionary genomics or molecular ecology Biodiversity assessment and ecological data analysis Environmental DNA (eDNA) or other molecular biodiversity tools Bioinformatics and
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is expected to work with an international team, establish experimental designs and provide biological insight to the image analysis. Investigation of plant and bacterial components required
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activities of the Department and faculty. Qualifications and Specific Competences The ideal candidate has: A PhD in Computer Science, Informatics, Computer Engineering, or a related discipline Strong
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of Sensory & Consumer Science studies, qualitative and quantitative data collection and -analysis as well as manuscript writing is requested. The candidate is expected to undertake data collection
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Experience in stakeholder engagement and co-creation and collection and analysis of information and data from stakeholder processes Experience in the quantitative and qualitative methods pertaining