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related field. Experience in bulk/single-cell multi-omics data analysis and/or drug screen data processing. Experience in R or Python programming. Strong interest in translational cancer research and
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knowledge of at least one programming language relevant to scientific computing, i. e. C++, C, Fortran, Python, R Excellent communication skills Good working knowledge of software development best practices
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Fragen Sie bringen mit: Abgeschlossenes Studium (B.Sc.) in Informatik, Computerlinguistik, Data Science, Kognitionswissenschaft oder ähnlich Programmierkenntnisse, insbesondere Python (inklusive
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., Python, R, C/C++) and experience with high-throughput sequencing data. Solid understanding of RNA biology, transcriptomics, and epitranscriptomics. Desirable Skills Experience with Nanopore sequencing (RNA
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++, Python, and JavaScript languages, multi- and many-core SoC, RISC-V, hardware synthesis, hardware-software co-design, (meta-heuristic) optimization algorithms, machine learning frameworks, (bonus topics