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of PhD students and postdocs at the IMB by applying (and/or advising on) appropriate biostatistics and modelling methods for the analysis, integration and visualization of omics data (e.g., genomics
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analysis, processing, machine learning and statistical interpretation of HEP data at CERN in the ROOT project, taking advantage of hardware accelerators. Join CERN's SFT group in the Experimental Physics
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. TBB) GPU programming (e.g. CUDA) Statistical treatment of data distributions Python (software development with Python 3) Optional, but considered a plus: ROOT HEP experiments, their data lifecycle and
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range of expertise, from software engineering and biomedical data management to statistical and bioinformatics services. Embedded in this multi-disciplinary facility, the screening and lab automation
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) Parallel, heterogeneous programming: multithreading concepts and tools (e.g. TBB) GPU programming (e.g. CUDA) Statistical treatment of data distributions Python (software development with Python 3) Optional
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skills as artificial intelligence and machine learning, statistics and modeling. Job description We search a 50-60% coordinator to further develop the curriculum of the Doctoral Program in Plant Sciences
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data management to statistical and bioinformatics services. Embedded in this multi-disciplinary facility, the screening and lab automation group specialises in screening technologies, assay development
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profile Skills and/or knowledge Preferably a PhD in theoretical or particle physics or Masters Degree with equivalent work experience with a strong background in numerical simulation or statistics. A proven
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exploratory data analysis (data visualisation, descriptive statistics) A curious mind, a positive attitude, a love of research Excellent critical thinking and problem solving skills: you can make a new plan