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strong publication record in relevant fields Proficiency in programming (e.g., R, Python, Bash) Effective communication in English is required for daily work. After the qualification requirements, great
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initiative and multitasking ability. Bring experience in interdisciplinary research fields. Show a solid research background in cancer biology. Be proficient in Bash, R, and/or Python. Communicate effectively
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and/or transcriptomics data Practical experience of working in Python and/or R, and Git Practical experience of working in computational cluster environments Knowledge of tumor and immune biomarkers
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or R are required (Python is preferred). Experience with analysis and visualization of large data is expected. Fluency in written and spoken English is required. Merits: Proven ability to write
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programming language (Python, R, or Matlab). Experience in medical image analysis. Excellent English communication skills, both spoken and written, as it is required in daily work. Preferred qualifications
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computational methods. Experience with analysing large-scale biological data, as well as computing and programming skills (e.g., Python and R), are considered beneficial. Familiarity with Linux/UNIX environments
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, statistics or relevant scientific omics subject. You must be experienced in Unix/Linux operating system and R/Matlab, as well as an established general-purpose languages, Python is preferred. You must be
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science, bioinformatics, statistics or relevant scientific omics subject. You must be experienced in Unix/Linux operating system and R/Matlab, as well as an established general-purpose languages, Python is preferred. You
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qualitative- and/or quantitative bioimage analysis, for example using CellProfiler and/or ImageJ, and programming in R and/or Python. It is an advantage if you are a fast-learner and motivated. It is also an