PH.D. COURSE: Introduction to bioinformatics and AI pipelines – Apply by May 6, 2025
The "Introduction to Bioinformatics and AI Pipelines" course will provide students with foundational knowledge and practical skills in bioinformatics, focusing on the integration of artificial intelligence (AI) in analyzing biological data. The course will cover essential concepts in genomics, transcriptomics, and proteomics, along with data preprocessing, feature selection, and machine learning techniques for biological data analysis. Students will learn to develop AI pipelines for tasks such as predicting disease-related biomarkers and modeling complex biological systems. Emphasis will be placed on hands-on experience using bioinformatics tools, programming, and AI frameworks to solve real-world problems in life sciences.
- Timeline: Thursday 15/5 15:00 - 17:30 CET | Thursday 22/5 15:00 - 17:30 CET | Thursday 29/5 15:00 - 17:30 CET | Thursday 05/6 15:00 - 17:30 CET
PH.D. COURSE: Strategic Data Management: DAMA-DMBOK Principles for Doctoral Research – Apply by May 14, 2025
This course delves into the fundamentals of data management based on the DAMA-DMBOK framework, tailored to the needs of doctoral research. Key topics include data governance, data quality, modeling, integration, and security, with a practical and strategic focus. Students will learn to structure, manage, and utilise data effectively to enhance the quality and impact of their research projects. Through hands-on exercises and case studies, they will develop critical skills to address challenges in data handling within academic and professional contexts.
- Timeline: Thursday, May 22th: 15:30 – 17:30 | Thursday, May 29th: 15:30 – 17:30 | Tuesday, June 3th: 15:30 – 17:30 | Thursday, June 5th: 15:30 – 17:30