EMBL Advanced Training Courses provide hands-on computational biology workshops for early-career researchers, aiming to build practical skills in data analysis, machine learning, and systems biology. The programme exists to democratize access to cutting-edge bioinformatics training and foster a global network of life-science researchers.

- Eligibility: Open to PhD students, postdocs, and early-career researchers; independent researchers and MSc students may be considered if space permits. - Relevance: Applicant's research background must align with the course topic (e.g., computational biology, ML for drug discovery, systems biology). - Motivation: Clear statement of how the training will advance the applicant's current research or career. - Experience: Basic programming or computational skills (e.g., Python, R) are often required; prior bioinformatics experience is a plus. - Diversity: EMBL encourages applications from underrepresented regions (e.g., Africa, LMICs) and aims for gender balance. - Bursary priority: Financial need and international participant status increase bursary chances (~50% for non-European applicants).

Past cohorts include PhD students and postdocs from European and international labs, often with backgrounds in molecular biology, bioinformatics, or computational chemistry. Named examples are not listed on the page, but typical participants are early-career researchers seeking to upskill in areas like single-cell genomics, structural bioinformatics, or machine learning for drug discovery.

A PhD student or early-career postdoc in life sciences with basic computational skills, a clear research question that requires advanced bioinformatics methods, and a strong motivation to apply the training to their ongoing work. The ideal applicant demonstrates potential for future collaboration with EMBL or EMBO networks.