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Imaging of mouse bone marrow Analyses of clinical data and correlation with wet lab findings Your profile Master degree (or similar) in molecular biology, biomedicine, biotechnology, bioinformatics or a
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degree (or equivalent) in Data Science, Computational Biology, Bioinformatics, Computer Science, Physics or a related field Solid programming skills and knowledge in deep learning, statistical modelling
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transcriptomics Present findings at conferences and publish in peer-reviewed journals Your qualifications and skills: You hold a Master’s degree (or equivalent) in Bioinformatics, Data Science, Systems Biology or
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biology, biomedicine, biotechnology, bioinformatics or a related field Experience in molecular biology methods (e.g. PCR, NGS, cell culture) and/or functional cell assays Strong interest in cancer biology
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pharmaceutical chemistry, and bioinformatics. Clinical Sciences Research in the clinical sciences section aims at translating target molecule identification into new diagnostic and therapeutic venues to provide
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approaches and develop skills to apply bioinformatics on newly generated and available omics data sets. If you are interested in this project, please select Ruf as your group preference in the IPP application
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, bioinformatics, and related disciplines. Applications open every autumn. About the IMPRS-BAC The IMPRS-BAC offers a dual education program with guidance from both experimental and computational groups and the
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sometimes). Compulsory "primer" (foundational) courses (programming, statistics, bioinformatics, biophysics) are planned as intensive courses in the period March to July. Soft skill courses (Good Scientific
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position (including biology, medicine, biochemistry, bioinformatics or a related discipline, depending on each PhD project) or its equivalent that would entitle them to a doctorate one month before the labor
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xenograft (PDX) models. To this end, the candidate will have direct access to cutting-edge mass spectrometry and advanced bioinformatics infrastructure. The project is part of the collaborative research