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15th July 2025 Languages English English Norsk Nynorsk English PhD Research Fellow in protein bioinformatics Apply for this job See advertisement UiB - Knowledge that shapes society Through robust
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Apply for this job Deadline Continuously Employer Municipality Scope (%) Duration Place of service See more jobs Vacant positions - University of Bergen Find more jobs PDF Link to startpage Switchboard: +47 75 54 22 20 Support Privacy policy - cookies
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monitoring of compound uptake into P. aeruginosa to guide the optimization process. The project is part of an interdisciplinary collaboration between research groups across several European countries and
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covalent and non-covalent inhibitors and will implement early monitoring of compound uptake into P. aeruginosa to guide the optimization process. The project is part of an interdisciplinary collaboration
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bioinformatics, especially Python and/or R are required Experience from relevant research projects investigating cellular metabolism, and/or protein modifications and signalling, respectively, will be considered
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biochemistry are required Profound knowledge in bioinformatics, especially Python and/or R are required Experience from relevant research projects investigating cellular metabolism, and/or protein modifications
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); mapping of protein interactions; RNA mapping via in-situ sequencing; spatial metabolomics; RNA sequencing; as well as bioinformatics skills (e.g., R) for digital image analysis and advanced statistical
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international level, has been successful in applying for grants from national and international sources of financing for research and educational development, and has established, or is in the process of
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personal qualities: The applicant must hold a master's degree or equivalent in the field of genetic epidemiology, statistical genetics, medical data science, or bioinformatics. have academic training and
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a master's degree or equivalent in the field of genetic epidemiology, statistical genetics, medical data science, or bioinformatics. have academic training and practical experience in data science