Trainings

Bioinformatics, Biostatistics and Machine Learning Techniques for Biotech Applications will be offered to bioengineers, bioinformaticians, computational biologists and researchers who want either to refresh or enter one of the fields such as bioinformatics, biostatistics and machine learning. The course consists of lectures introducing topics such as RNA-seq analysis, single-cell omics, analysis of variation, crossover designs, regression modeling, and classification modeling. Each topic has a hands-on element, which is provided to the course attendees via a compartmentalized virtual cloud environment (AWS), containing all tools and data necessary for demonstrations.

Machine Learning for Bioengineering and Applied Life Science will be offered to bioengineers, bioinformaticians, computational biologists and researchers to introduce practical data analytics, dimension reduction, and machine learning techniques, for a variety of life science and bioengineering applications in transcriptomics, proteomics, and systems biology domains.