48 developer-"https:"-"https:"-"https:"-"Inserm-UMR-S-1250" Postdoctoral positions in Sweden
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gender equality and diversity as a strength and an asset. Description of the workplace The Department of Immunotechnology conducts research ranging from advanced technology development to biomedical
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experimentally and making a difference in the areas of materials and manufacturing, we look forward to receiving your application. About the research project The position is focused on development of robust AM and
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multidisciplinary research and education environment that advances the state-of-the-art knowledge and fosters the development of highly skilled researchers and professionals. Our research focuses on material
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development to biomedical studies. The main research areas include sensitization, immuno-oncology, and biomarkers. The modern facilities are located at Medicon Village, where academic research is carried out
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are related to the development of a novel sensory modality for improving social cognition. In our lab, we have a state-of-the-art motion capture system which is synchronized with portable eye tracking devices
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Do you want to contribute to top quality medical research? Interested in developing tools that bridge computational science and nucleic acid technology? Whether your passion lies in computation
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knowledge and fosters the development of highly skilled researchers and professionals. Our research focuses on material properties and manufacturing processes for mainly metallic components, specifically cast
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Do you want to contribute to top quality medical research? Interested in developing tools that bridge computational science and nucleic acid technology? Whether your passion lies in computation
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to better health for all? Join an experienced team to decipher the role of tissue mechanics in cancer development. The research group of Staffan Strömblad at the Department of Medicine-Huddinge, Karolinska
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. The project focuses on developing novel representation learning and generative modeling methods to construct a unified cellular morphology state space across heterogeneous datasets. By leveraging shared