Participating students are trained by contact lectures and practical sessions involving the personal use of computers on various topics related to the development of transversal skills:

• (Biomedical) data collection, signal processing and analyses
• Artificial intelligence and machine learning in
  • Natural language processing, Biological image processing, Gene expression analysis, Radiation treatment planning
• (Medical) image processing applications
• From literature knowledge to mechanistic modelling
• Health data science and management
• Statistical decision making
• Dissemination of scientific results
• Data processing in epidemiology
  • Data collection and interpretation, conception and design, Population testing and tracing, Mathematical modelling of the COVID-19 outbreak, Complex economic systems
• Emerging additive technologies, 3D printing

The aim is to educate students for the use of modern information technologies for effective research work and for the dissemination of scientific results from the collected data.

Overview of the basis of data processing in different biomedical applications and state-of-the-art examples presented by distinguished scientists from the five participating universities of the EUGLOH alliance.

Introduction to the topic of artificial intelligence with a special focus on the multidisciplinary research activities.

Target audience:

Physical attendance at the University of Szeged (Hungary): maximum 30 students from bachelor, master and PhD programs from all faculties of the EUGLOH member universities.

Online participation at the lectures: Students studying all education levels at the EUGLOH member universities.

Requirements: No special background knowledge is required. The school is also open for junior and senior scientists of the participating universities.

Please specify in your motivation letter whether you want to participate in person or online!

HOW ARE PARTICIPANTS SELECTED?

1. Motivation: as a primary filter, applicants must submit a motivation letter explaining their motivation to apply for the event (maximum 3000 characters).


2. Timestamp of application (‘first come, first served’) will be used as a secondary filter to break possible ties between applicants.

WHAT PEDAGOGICAL METHODS/TOOLS ARE APPLIED?

Personal lectures for students participating in person and online video streaming for distant education. Personal practical sessions by using computer applications for biomedical data analysis, telemedicine, image processing and artificial intelligence. Interactive communication tools, teamwork, networking.

HOW ATTENDANCE IS AWARDED?

EUGLOH Certificate and 4 ECTS will be provided for the students attending personally, and 2 ECTS for students following lectures online.

WHERE ARE THE LECTURERS FROM?

University of Szeged and partner institutions:

• Bolyai Institute, Department of Applied and Numerical Mathematics


• Department of Image Processing and Computer Graphics


• Department of Informatics, Natural Language Processing group


• Department of Medical Physics and Informatics


• Institute of Finance and International Economic Relations


• Hungarian Centre of Excellence for Molecular Medicine (H-CEMM)


• Extreme Light Infrastructure - Attosecond Light Pulse Source (ELI-ALPS)

Ludwig-Maximilians-Universität München

• Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine

Lund University

• Department of Cell Death and Metabolism

University of Porto

• Computer Sciences Department


• Community Medicine, Information and Health Decision Sciences


• Department of Physics and Astronomy

Université Paris-Saclay

• Computer Science Department, SUPELEC

University of Hamburg

• Center for Molecular Neurobiology Hamburg (ZMNH) Institute of Medical Systems Bioinformatics


• Center for Internal Medicine, I. Department of Medicine

University of Alcalá

Departamento de Signal Theory and Communications

Closed