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state-of-the art social-science research. Experience with both quantitative and qualitative analyses, as well as mixed-methods designs are an advantage. What we offer A project that studies a highly
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of Ecoscience leads a citizen science-driven project on seabird mortality in Denmark (https://ecos.au.dk/en/researchconsultancy/themes/supre). As part of this project, volunteers count beached birds and collect
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, and survey experiments. The third studies strategic interactions in corruption markets using experimental designs embedded into virtual reality scenarios that simulate procurement and regulatory
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of Generative AI for knowledge classification in software engineering. The research will entail carrying out a number of experiments and also the development of tools to support the classification
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science (AI/ML) or similar with a focus on animal health, microbiology and disease control and/or production traits. Proven experience in biostatistical and bioinformatic analysis of multiomics datasets
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, data science (AI/ML) or similar with a focus on animal health, microbiology and disease control and/or production traits. Proven experience in biostatistical and bioinformatic analysis of multiomics
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and other postdoctoral researchers as part of our Lundbeck Professorship grant, which you can learn more about here: https://www.cnap.hst.aau.dk/lundbeck-professorship As a postdoctoral researcher your
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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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regulatory post-translational modification networks Developing novel experimental and analytical strategies Collaborating with national and international research partners Publishing research in leading
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screening microscopes, full facilities for sample preparation, and a large suite of advanced light microscopes. Responsibilities The candidate’s duties will include designing and running experiments as