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neuroscience institute and a Nordic-EMBL partner based at Aarhus University, Denmark. The institute and the Dept. of Molecular Biology and Genetics enjoys access to cutting-edge microscopy, supercomputer
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twinning for production and process optimization. A first-of-its-kind pilot factory is now based at Aarhus University (AU Viborg), and has been equipped with about 200 sensors and a production management
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engaged in experimental and analytical work focused on the recycling of textiles through thermochemical and solvent-based processes. A central part of the role involves operating both pyrolysis and
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learning methods. Familiarity with or interest in behavioral software systems – for example, development of applications or tools that incorporate nudging, persuasive technology, or behavior change
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, you will be asked to indicate, which of the areas listed on the page above are of interest to you. The list includes positions covering Operator Algebras, Machine Learning, Analytic Number Theory
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be given to seamlessly integrating an ecosystem model (LandscapeDNDC) and a farm model (to be developed, based on components from the FarmAC and other relevant models from previous and ongoing
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project. Your profile We are looking for a highly motivated candidate with a background in machine/deep learning, and communication networks. The required qualifications include: PhD in computer engineering
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hands-on experience in tissue handling, histology, microscopy, and spatial transcriptomics. Experience with the computational analysis of NGS- or imaging-based spatial transcriptomics and single-cell
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Communication, Singal Processing, Low Power Electronics, Wireless Sensing, Low-Power System Design, Machine Learning & Edge Inference, Underwater acoustic communication. Furthermore, you have a proven record of
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engaged in experimental and analytical work focused on the recycling of textiles through thermochemical and solvent-based processes. A central part of the role involves operating both pyrolysis and