" This course introduces how network science, data visualization, and machine learning techniques can address critical biomedical challenges. It focuses on four key areas: Biomedical Network Science, to identify relationships between genes, proteins, and diseases; Processing and Visualizing Medical Data, to make complex datasets interpretable and actionable; Machine Learning on Tabular Medical Data, such as electronic health records, to predict outcomes; and Deep Learning on Unstructured Medical Data, like medical images and genomic sequences. Participants gain hands-on experience with Python to apply advanced computational methods in real-world biomedical contexts. Applicants to the course should have basic knowledge of Python programming! The course duration is July 28-Aug.5, 2025 and the price is 850€."
Dear PhD Student,
The Institute of Biostatistics and Network Science is pleased to invite you to the Biomedical Data Science Summer School and Conference, taking place from July 28 to August 8, 2025.
During the Summer School segment of the event (July 28 – August 5, 2025), we are pleased to offer three PhD students from Semmelweis University the opportunity to participate free of charge. The full early bird fee for the program would otherwise be 850 EUR per person, covering a 60-hour biomedical data science training in English. Upon successful completion, participants will be awarded 2 ECTS credits.
Interested students are kindly requested to submit their detailed professional CV by Apr 15, 2025, to biostat@semmelweis.hu, using the following subject: BIOMED-DATA 2025 PhD student application
All applicants will be notified of the selection results via email within two weeks after the application deadline.
We warmly welcome all interested PhD students to the conference segment of the event, whether as attendees or presenters.
For further details, please visit the official event website: http://www.biomed-data.semmelweis.hu
Best regards, dr. Roland Molontay Institute Director Institute of Biostatistics and Network Sciences
óraszám 60(20x90 perc elmélet; 3x90 perc hallgatói beszámoló,14 óra felügyelt önálló munka)
