Develop the computational and data analysis skills needed to manage, analyse, and interpret datasets using tools such as Python, R, Unix, and HPC.
Develop practical statistical skills to design experiments, and apply methods such as hypothesis testing, linear models, and Bayesian inference to real-world data.
Develop practical skills for analysing biological datasets using modern bioinformatics methods, including sequencing, genomics, transcriptomics, proteomics, and computational workflows.
Learn how to use machine learning to analyse complex datasets, identify patterns, and generate predictions from research data.
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