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or equally, microbiologists with a solid background in computational analysis of omics data. Projects will apply computational, statistical and bioinformatics approaches to integrate multi-omics’ datasets
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, organization, compression, analysis, and visualization of georeferenced or geometric data in large scales. We put emphasis on methods of distributed computing, machine learning, image and text analysis
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extensive experience working with large data sets in Python are required for the position. Experience with machine learning, OCR, natural language processing, geospatial analysis, and data visualization is a
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matplotlib. Additional experience with Jupyter notebooks and the analysis and visualisation of scientific data would be considered a plus. Experience in integrating MLOps software and datasets together will be
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experiments, adopt novel technologies to the sample analysis, produce and visualize data for presentation at scientific meetings and for publications • write research and review papers, and to contribute