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comfortable performing in vivo studies (FELASA-B certification or an equivalent qualification is an advantage); have a documented track record of scientific publications or demonstrate strong potential
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design. Experience working with sustainability and circular economy initiatives in a private-sector context. A strong track record of participation in interdisciplinary research and innovation projects
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is clearly connected to Deep Learning and Computer Vision, and you can demonstrate experience with semantic segmentation, object detection, and generative AI models. You have solid skills in
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should have the following qualifications: Ph. D. degree in data science, electrical engineering, computer engineering, computer science, mathematical engineering, or similar. Proven track record in
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vesicle isolation and characterisation, such as ultracentrifugation/SEC, nanoparticle tracking analysis and electron microscopy. Small-RNA/miRNA profiling, including small RNA-seq and/or RT-qPCR. Sterile
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industrial specialisation, medicine, and more. You will thus be joining an inspiring, enriching, and productive cross-disciplinary research centre including staff with internationally recognised track records
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track record of scientific dissemination Is enthusiastic about contributing to an internationally competitive research environment Who we are The positions will be based in the Nielsen Laboratory