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Field
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international conferences Assist in the mentoring of team members taking on computational tasks Requirements PhD or equivalent in bioinformatics, computational biology, cancer biology or similar Strong background
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Max Planck Institute for Biology of Ageing, Köln | Koln, Nordrhein Westfalen | Germany | 24 days ago
, Bioinformatics, Biophysics, Genetics, Medical Biology, Translational Medicine, or related fields Students with excellent academic performance in their BSc and MSc studies and a clear interest in the above
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of bioinformatics Comprehensive experience in library preparation (e.g. RNA-Seq, 5mC/5hmC-Seq, DNA-Seq, ATAC-Seq, CUT&RUN/CUT&Tag, 16S) Experience in automated sample preparation, as well as project management skills
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changing environment. Based on an experimental approach combined with modern bioinformatic methods, the candidate should work on causal analysis at the molecular level. Applicants are expected to be willing
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Computer Science, IT Systems Engineering, Data Science, Bioinformatics, Mathematics, Physics, or a related field. - Solid, demonstrable software engineering skills and ability to write clean, testable, and well
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prominent member of the Leibniz Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex interactions
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related field. You bring strong quantitative skills (e.g., R/Python, bioinformatics pipelines) and experience with high‑throughput sequencing and/or acoustic data analysis. You thrive in international
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. computer science, data science, bioinformatics or a related field or in the natural sciences At least 3 years of professional experience in the planning, implementation and optimization of complex IT
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– Integrative Genomics Core Unit (NIG), we are seeking a highly motivated scientific staff member with expertise in the bioinformatic analysis of next-generation sequencing (NGS) data. Your tasks development
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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