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of data-driven life science and includes access to a formidable package of resources. Project description: DDLS Fellows Program Data-driven life science (DDLS) uses data, computational methods and
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, including tissue preparation, sectioning, and staining. Microscopy techniques, with a focus on confocal microscopy and image analysis. Contributing to study design, selection of analytical methods, and method
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treatment. Develop methods and models that can predict the course of the disease by analyzing detailed data on the immune system and metabolism. We are conducting a large study, the CoVUm study, involving 579
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The selected candidate will conduct research on the project which predominantly involves laboratory work as detailed by the methods below in addition to organization and technical tasks, verbal and written
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you must: Be enrolled in years 4 or 5 of the Architecture Programme, or in the Master's Programme in Architecture and Urban Design at the Umeå School of Architecture Have good knowledge in
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and application of advanced methods within light microscopy. In addition, it is required that the applicant has: Experience of establishing, developing and operating research infrastructure. Experience
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analyses within nationally prioritized data-driven life science research projects, using state-of-the-art computational methods Develop and implement necessary tools and workflows for such analyses Educate
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information about the program can be found at Doctoral studies at the Faculty of Medicine . Background and description of tasks The PhD student will use state-of the-art methods such as cryo-electron tomography
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to study gene function in malaria parasites. The PhD student will apply scalable and innovative analytical methods to characterize the role of parasite genes during replication and host interactions
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relevant to the subject area. A doctoral degree in molecular biology or genetics is required. For the employment you must also have extensive laboratory experience in biochemical methods and molecular