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Fluorescence in situ hybridization Spatial transcriptomics Programming: bash, python, R You are self-driven, flexible, and have good problem-solving skills. Willingness to collaborate is a requirement for your
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using R-studio Strong knowledge of tumor biology, cancer genetics. Ability to interpret and acquire new knowledge, as well as to compile data for presentations and to read and interpret scientific
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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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for the position are: Experience with single cell RNA sequencing data and spatially resolved transcriptomics Programming skills using e.g. Python and R Type of employment Temporary employment of four years, in
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data) and analysis thereof. Documented ability to independently program and perform analyses, for example using the software R. Strong subject knowledge in tumor biology relevant to breast cancer, as
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sensorial fusion and multirobot coordination, including multirobot perception, decentralization and mission execution. The RAI team has a strong European participation in multiple R&D&I projects, while RAI
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solid experience in coding with R, analysis of metabolomics and proteomics data, as well as in machine learning. You also need to have good knowledge of magnetic resonance spectroscopy and multiple
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research and development activities linked with National, European and worldwide R&D Projects. Qualifications To be qualified for this position you must be a university student in the later part of your
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in the following methods/techniques: IncuCyte-based automated microscopy Isolation and cultivation of primary cells Programming in R for bioinformatic analyses of high-dimensional data High-throughput