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Python and/or R for bioinformatics and ability to write clean, reproducible, and well-documented code for complex multi-step pipelines. have documented experience from cancer research. Additional
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analysis, and biology, as well as Python and R programming language (critical). Previous experience analyzing high-resolution spatial VDJ/transcriptomics, long-read sequencing, single-cell transcriptomics
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, mathematics, applied mathematics, computer science, biomedicine, biotechnology, or another relevant field. Documented experience in programming or quantitative data analysis, for example in Python, MATLAB
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programming, especially in Python. You are independent, meticulous and work efficiently. This position requires good communication skills: You enjoy actively participating in meetings and have a strong ability
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in Python and/or R experience using relevant bioinformatics tools or frameworks, such as Seurat, Scanpy, or similar good ability to work independently as well as collaboratively in a multidisciplinary
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data at an internationally competitive level. Experience of biostatistics or machine learning approaches Proficiency in a scripting language like R or Python, as well as ability to work efficiently in a
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programming languages (e.g. Python) Basic knowledge of molecular biology, genetics and evolutionary biology Strong scientific curiosity, drive and independence Desirable knowledge and experience: Experience
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years of experience in systems development with Python and version control systems, e.g., Git – Documented experience with using container and cloud technologies such as Docker, Helm, and Kubernetes
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Experience with bacterial genetic manipulation Experience with data processing and analysis Basic programming or bioinformatics skills (e.g., R or Python) Further information The position is a fixed-term
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which must be in advanced courses in one of these areas. Alternatively, you have gained essentially corresponding knowledge in another way. Experience with programming (e.g., Python, MATLAB, C/C