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Computational thinking, programming foundations (C++ and Python), data structures and an introduction to data...

Deep-learning methods for biomedical images and bioinformatics data. Diploma specialization.

Metagenomics concepts, tools and applications for microbial community analysis. Diploma specialization.

Cloud infrastructure and scalable computing for bioinformatics workflows. Diploma specialization.

Genome- and transcriptome-wide association analysis methods and interpretation. Diploma specialization.

Computer-aided drug design: cheminformatics, drug-target interactions and structure-based approaches. Diploma specialization.

Machine-learning approaches applied to bioinformatics problems. Diploma specialization.

Data-specific and integrative analysis of transcriptomic, proteomic, metabolomic and other omics datasets.

R programming for data science: data handling, exploratory analysis, visualisation and reproducible reporting for...

Next-generation sequencing analysis: Bash, quality control, alignment, metagenomics, transcriptomics, variants and single-cell data.