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Field
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to process tissue data reproducibly and at scale Conduct analyses using programming languages such as R and Python Collaborate with other laboratory members with expertise in epidemiology, bioinformatics
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(clinical, environmental, tumor-associated microbiomes). Develop and implement bioinformatics pipelines for resistome, mobilome, and virulome profiling using tools such as MEGARes, CARD, VFDB, and
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metabolism. Key Responsibilities Lead metagenomic, proteomics, and metabolomic profiling of clinical and experimental samples to identify dysbiosis signatures. Apply bioinformatics tools for microbiome data
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and bioinformatics The first year of the program combines taught courses with laboratory rotations to broaden the student’s knowledge of the subject area. At the end of the first year, students will
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immunocytochemical analyses, circuit concepts, transcriptomic (and potentially proteomic) bioinformatics, small input RNA-seq, and high-level imaging, as well as research background in related studies. Junior
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that values innovation, creativity, and quality. Your qualifications should include: · A Ph.D. degree in life or biomedical sciences, bioinformatics, or a related discipline, or an MD degree with
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in pharmacy, computational chemistry, medicinal chemistry, bioinformatics, or a closely related field. Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian
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, bioinformatics, or a closely related field. Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system Strong background in molecular modeling, molecular
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degree have until June 30, 2026 to complete the final exam. Desired qualifications: Basic knowledge about bioinformatics Experience working with invertebrates, preferably the soil invertebrate springtails
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for structural studies (e.g., X-ray crystallography), enzymology, protein-protein/protein-ligand interac-tion studies, and/or structure-based drug-design Use of basic bioinformatics tools Language requirement