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teaching faculty, 700 undergraduates, 250 Master’s students, 150 PhD students and 30 postdoctoral researchers and continues to grow. More information about the ME department is available at http
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participate in projects, or participate in designs, develop, execute, and implement scientific experiments, adopt novel technologies to sample processing or analysis, produce and visualize data for presentation
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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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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