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candidate will contribute to a fundamental research program exploring the chemical and physical principles of peptide ionization and fragmentation in LC-MS/MS – with particular emphasis on the analytical
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for a curious and engaged colleague with a genuine interest in the research topic. You enjoy working analytically with quantitative data, approaching research questions thoughtfully, and learning new
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for candidates with strong analytical skills, curiosity, and enthusiasm for cryptographic research. A solid background in theoretical computer science, mathematics, or a related field will be considered an asset
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portfolio of hypothesis-generating screening studies, a methodological portfolio where we identify signals of interest from large real-world register data to guide the conduct of further studies according
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, excellent core facilities, and access to state-of-the-art analytical platforms. Principal supervisor: Prof. Thomas Elbenhardt Jensen Section for Human and Molecular Physiology, NEXS Email: TEJensen@nexs.ku.dk
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engineering, and data intensive methods, with a strong focus on real world impact through collaboration with industry, utilities, and public stakeholders. Research themes The PhD positions are embedded in
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. Documented experience with analytical methods and wet-lab experimentation. University-level teaching and supervision experience. Track record of scientific publications in high-quality journals. Strong
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exploring the chemical and physical principles of peptide ionization and fragmentation in LC-MS/MS – with particular emphasis on the analytical potential of negative ion mode. Current proteomics workflows
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and transport systems, within the ELLIS network. The project is fully funded through the Novo Nordisk Foundation Data Science Distinguished Investigator programme. You will be based in the Intelligent
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Job Description Are you passionate about environmental contaminants, food safety, marine ecosystems, and creating real-world impact through cutting-edge analytical and data-driven approaches? Do you