89 systems-science-"https:"-"https:"-"https:"-"https:" positions at University of Lund
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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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Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 46 000 students and 8 500 staff based in Lund, Helsingborg and Malmö. We
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training in coagulation biology, including coagulation assays or functional studies of the contact activation system. Education or documented training in omics-based approaches, such as transcriptomics
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Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 46 000 students and 8 500 staff based in Lund, Helsingborg and Malmö. We
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, science grows. The group is part of the Division of Molecular Medicine and Gene Therapy , Faculty of Medicine, and benefits from access to cutting-edge core facilities and services, interdisciplinary
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to at least 60 credits, and not have begun doctoral studies. Requirements for the position is that you: Are currently enrolled in full-time studies in Molecular Biology, Biotechnology, Biology, Biomedicine
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, and is financed by SciLifeLab and the Wallenberg National Program for Data-Driven Life Science (DDLS) and the Wallenberg AI, Autonomous Systems and Software Program (WASP). Work tasks and
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, development economics, and economic demography, as well as financial history and education and the labour market. More information is available at the Department’s website. Lund University announces a position
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Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 staff based in Lund, Helsingborg and
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molecular structures capable of transferring electrons and interacting with light. Such assemblies also have applications in biomedicine. The primary objective is to develop computational methods, using deep