336 web-programmer-developer "https:" "https:" "https:" "U.S" research jobs in Sweden
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division The Division of Biomedical Engineering is part of the Department of Materials Science, and Engineering at the Ångström Laboratory. We perform research within the development of miniaturized
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biology, analytical chemistry, evolution, and data science. The workplace offers access to state-of-the-art core facilities for advanced microscopy and cytometry, cell and molecular biology, extracellular
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Description of the workplace The Department of Immunotechnology conducts research ranging from advanced technology development to biomedical studies. The main research areas include immuno-oncology
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–environment systems. A central component of the project is the development of next-generation process-based eco-epidemiological models that explicitly integrate environmental variability, ecological
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generation, and explainability Evaluation methodologies for knowledge-intensive AI systems The project will be driven by real-world domain applications in materials, casting, and manufacturing, developed in
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knowledge of cell and molecular biology techniques used to study cellular proliferation and invasion, including IHC, RT-qPCR, and Western blot. Experience in developing three-dimensional in vitro models and
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Associate Professor Stefania Giacomello. Examples of postdoctoral activities: Lead and develop independent research projects in line with the group’s focus Design, conduct and interpret computational analyses
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development post, and its purpose is to act as an initial step on a career path by providing the opportunity to to deepen and broaden your research expertise. The position also includes some pedagogical
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Subject description The postdoctoral fellow will join a project focused on developing protein-based electronic components, with the ultimate goal of enabling in-cell production of semiconductor
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years to work in a multi-professional international team with automatization of radiotherapy treatment planning. Description of the project The project aims to develop methods for automated dose planning