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and microscopy imaging to join our interdisciplinary team. The project contributes to the AlphaCell program and ongoing efforts with the Human Protein Atlas and other research groups at SciLifeLab
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work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. As a postdoc fellow in the AMBER programme you
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assignments Your main tasks will be to analyse and compile data and video material from a random sample of Swedish dog owners. The long‑term goal is to create a more complete picture of the Swedish dog
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) Theoretical knowledge and practical experience in artificial intelligence-driven techniques for image processing Excellent proficiency of oral and written English in a scientific context Meriting criteria
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postdoc rules). - Strong experience in in vivo rodent experiments, with competence in at least one of: Stereotaxic surgery and viral/vector delivery, in vivo imaging (miniscope, 2P), optogenetics
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to explore life at the molecular level. We build physical models of key biological processes and develop advanced measurement techniques to test these models in living cells. This project focuses
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» Biochemistry Chemistry » Other Computer science » Informatics Computer science » Computer systems Computer science » Digital systems Medical sciences » Medicine Medical sciences » Other Researcher Profile First
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. genomics, transcriptomics, proteomics, imaging). Experience from interdisciplinary collaboration with biologists, clinicians, or industry partners. Experience in supervising or co‑supervising students
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of English. It is an advantage if you have: Experience of working with large text or image materials, for example organising digital archives, curating public databases, structuring and quality-assuring large
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Fennoscandian ionospheric measurement systems, e.g., from advanced radar systems such as EISCAT_3D in northern Fennoscandia and from the Kiruna ALIS_4D Auroral Large Imaging System. Our developments will be used