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analytical techniques (HPLC, LC-MS, and GC), as well as computational tools. An integral part of the work will be the integration of biological data with medicinal chemistry principles to identify the most
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technologies and ICT (e.g., blockchain, IoT, data analytics) in future energy systems. Willingness to contribute to academic dissemination (e.g., publications, conferences) and collaborative project tasks
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interpret complex "omics" data Experience in handling and analysis of clinical samples/biopsies Experience with extracellular vesicle/exosome characterization. Familiarity with proteomics or other omics
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. HARPNET’s scientific programme is integrated across three scientific work packages, where data, technologies and biological models will be shared across projects through joint supervision, network activities
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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. More practical information about working and living in Norway can be found here: https://uit.no/staffmobility UiT via Unsplash UiT How to apply Please note that the application will only be assessed
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Sciences scientifically original and academically strong project proposal that is suitable for making an independent contribution to research within Information Systems strong analytical skills fluency in