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to improve the interpretation and matching of mass spectrometry data, a field in which Sweden holds a leading global position. To this end, the doctoral student will use and develop computational tools, and a
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programming and some wet-lab work. The doctoral position is part of the research school within DDLS (Data Driven Life Science). The doctoral student will primarily work together with their main and co
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academic and industrial collaborators. The position is funded by the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) program and the student will integrate into the DDLS
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interpersonal skills, and willingness to work in a fast-paced team environment required Excellent collaboration, and strategic skills Strong oral and written communication, data documentation, and presentation
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studies Construction or modification of bacterial strains (e.g., introduction of fluorescent markers) Basic processing and analysis of experimental data Qualifications Requirements for the position include
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can find more information about us here . The advertised position will be located within the Microbiology and Immunology program , which is the largest program at the department. It comprises seven
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computational modeling of biological systems. Application For complete information about application procedure and assessment criteria, and to apply, see link to application: Apply here
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application for promotion to associate professor should be submitted to the faculty at least nine months before the appointment as assistant professor expires. Additional information The position will be placed
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Reference number REF 2026-0110 Are you passionate about pushing the boundaries of genomics? We are looking for a Doctoral student to join an exciting project at the intersection of genomics and data
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spectrometry imaging (MSI) of brain tissue. The missingness can happen along two dimensions: spatial (super resolution) and feature (data imputation). Enhancing the quality of MSI advances our understanding