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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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lead the image processing and computational analysis efforts, developing robust methods to register, segment, and analyse spectral micro-CT data, and — where relevant — advance reconstruction and
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research of high international quality, including publication Transcriptomics and molecular analysis of skeletal muscle Analysis of signaling pathways linking muscle excitability to gene regulation
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an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
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part in teaching and supervision at BSc and MSc level, and to take responsibility in grant application writing. We seek a candidate with knowledge of the application and analysis of Sensory & Consumer
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to ecological monitoring. The successful candidates will help further develop analysis pipelines and implement next‑generation sensors for automated monitoring of insects across Europe. The positions are part of
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, proteins and DNA origami constructs, and computational procedures for data analysis. The project is a collaboration between the single molecule biophysics and chemistry group at iNANO/Department
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the following areas. You have a background in tissue-based molecular research and experience with tissue sectioning and the generation and analysis of spatial molecular data. Programming expertise in Python and R
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simultaneously. By doing so, the project uncovers key pathways and mechanisms in prostate cancer progression. This will be achieved by analyzing samples using spatial transcriptional and proteomic analysis in
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scientific journals Research experience in some of the areas of fungal transformation, CRISP/Cas9 modification of fungal genes, analysis of metabarcoding data, and soil microbiology. Additional qualifications