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in MD. In this role, you will lead the development of advanced, structured membranes tailored for MD applications. These membranes will be rigorously tested within an MD pilot system to treat process
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related field. Strong software development and programming skills, with experience in designing and implementing complex software systems. Research experience in artificial intelligence and/or machine
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glycoproteins essential for the health of mucosal surfaces. Our goal is to leverage cutting-edge mRNA technology to induce mucin overexpression in vivo, opening new therapeutic avenues for diseases linked
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success we achieve is no success at all if not achieved ethically. People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we
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Job Description The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we, together with Lonza Cambridge, UK, are seeking a highly
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activation or suppression in specific cells. It is invaluable for understanding complex biological processes and disease mechanisms, making it an essential tool for researchers in various fields. In
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skin affected by Cutaneous Lupus Erythematosus (CLE). CLE is a challenging autoimmune disease characterized by inflammatory skin lesions triggered by complex interactions between immune cells and skin
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within the core areas of economics, i.e. microeconomics, macroeconomics, and quantitative methods. The Department is especially active in business-related, applied economic research, and comprises two