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welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset. Description of the workplace The research group, led by Assitant Professor
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the Biochemistry, especially Bioinformatics, program the applicant must have passed courses within the first and second cycles of at least 90 credits in either, a) Chemistry/Molecular Biology/Biotechnology, or b
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(Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following: passed a second cycle degree (for example a master’s degree), or
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related field. At least three years of documented professional experience in bioinformatics-related system development. Excellent knowledge of Python or similar programming languages. Experience using Git
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applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset. Description of the workplace The Center for Translational Genomics (CTG ) is a
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, advanced, and research-level courses, with undergraduate courses primarily in the medical, biomedical, pharmacy, and nursing programs. The department is located at the Biomedical Center (BMC) in Uppsala and
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track record, including high-impact and highly cited publications. Good knowledge in English, oral and written. Additional merits Expertise in web programming and web application development. Expertise in
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data types (transcriptomics, proteomics, imaging). Knowledge on AlphaFold for models in structural protein analysis/proteomics AI/ML Applications: Applying machine learning or AI to predict gene function
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-teaching positions at Karolinska Institutet are applied in relation to the established profile of employment. To be eligible for an employment as Research Infrastructure Specialist the applicant must have
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maintaining reproducible and modular data analysis workflows Solid understanding of statistical methods and their application to transcriptomics and image-derived data Familiarity with public biological data