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journals and at major conferences. The position will include supervision of PhD and MSc students, teaching and supporting in acquiring funds for future research projects from research funding agencies
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will include clinical and biomedical research projects. It will also involve methodological development aimed at combining imaging techniques and data analysis to provide a more integrated understanding
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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. To be a postdoc fellow at the AMBER programme you
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within the Data Science & AI division (DSAI). With 30+ nationalities and strong industry/academic ties, we offer a dynamic, collaborative ecosystem. The AI and Machine Learning in the Natural Sciences
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- A CV including a list of publications - Proof of completed PhD - Contact details of two references Applications must be received by: 2025-08-23 Information for International Applicants Choosing a
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, collect and analyze relevant data. Qualifications For this position, applicants must have a PhD in sociology or another discipline that is deemed relevant in relation to the research being conducted within
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also include technique development 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. To be a
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the boreal region of Sweden. The study sites are part of the SLU forest long-term trial series and located in boreal Sweden. Similar data from conventional rotation-forestry sites are available for further
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experimental and computational tools, and are currently recruiting for the following roles: Position 1: AI and data science approaches applied to genomics and spatial omics Position 2: Experimental islet and
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participating in projects that collect and utilize agronomic data from forages and crop rotations, and (3) writing scientific publications and grant applications. Qualifications: Required: A PhD degree in a