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technical staff. We are now seeking a motivated and knowledge-driven PhD student to work on developing and improving patient-derived cells strategies in preclinical transplantation models, and to assess
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environment. Research You will play a central role in our security studies initiative and help build the research environment from the ground up. This involves: developing your own research in areas such as
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with big datasets: towards methods yielding valid statistical conclusions” led by Professor Xavier de Luna and Tetiana Gorbach (Statistics). The overall purpose of the project is to develop novel methods
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branches of biotechnology. The Division runs several multidisciplinary projects in collaboration with industrial partners, involving the development of processes for transformation of renewable resources
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explores novel methodological approaches using survey and register data. Work tasks The work will focus on exploring and developing quantitative approaches grounded in intersectionality theory and with
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can also vary among healthy individuals. We still have limited insights into the factors that promote and constrain brain plasticity. This project will contribute new insights by developing and using
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and also be able to work independently. Specific tasks include: Statistical analysis of complex datasets Development and application of predictive models Contribution to study design, and choice
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, and develops various tools for bioimage analysis, mostly using machine learning and AI-based models. As a postdoc you will conduct research using various methods in cell-and molecular biology, but
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to the development of knowledge in the field, for the benefit of researchers as well as teachers and other educational professions. Specialization of the doctoral studentship The doctoral position is open for
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different backgrounds and perspectives lay the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly