WHAT CAN YOU LEARN?

Participating students are trained by live streaming or video courses in different 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 analysis
  • gene expression analysis
• Image processing applications
• From literature knowledge to mechanistic modelling
• Health data science and management
• Statistical decision making
• Dissemination of scientific results

The school covers global aspects of COVID-19 pandemic, including the medical challenges, models for the virus spread, economic and social consequences:

• Mathematical modelling of the COVID-19 outbreak
• COVID-19 outbreak: similarities and differences with previous
  pandemics
• An economic model of optimal lockdown
• SARS-CoV-2 and COVID-19: the past, present, and future
  perspectives
• Epidemiological aspects:
  • data collection and interpretation
  • Population testing and tracing
  • conception and design (illustrated through a current
    German Coronavirus study)
  
  

WHO IS THE TARGET AUDIENCE?

Bachelor, master and PhD students from all faculties of the partner universities of the EUGLOH alliance (University of Szeged, Université Paris-Saclay, Lund University, Ludwig-Maximilians-Universität München, Universidade do Porto). No special background knowledge is required. School is also open for junior and senior scientists of the participating universities.

WHAT PEDAGOGICAL METHODS/TOOLS ARE APPLIED?

Lectures by online video streaming, interactive communication tools, teamwork, networking.

HOW ATTENDENCE IS AWARDED?

EUGLOH Certificate and 4 ECTS will be provided for the students attending the school.

WHERE ARE THE LECTURERS FROM?

University of Szeged and partner institutions:

• Bolyai Institute, Coronavirus Team
• Department of Image Processing and Computer Graphics
• Department of Informatics, Natural Language Processing group
• Department of Technical Informatics
• Institute of Finance and International Economic Relations
• Biological Research Centre
  • Institute of Biochemistry
  • Laboratory of Microscopic Image Analysis and Machine Learning
  • Institute of Biochemistry, Synthetic and Systems Biology Unit
• Hungarian Centre of Excellence for Molecular Medicine
• Extreme Light Infrastructure - Attosecond Light Pulse Source (ELI-ALPS)

Ludwig-Maximilians-Universität München

• Centre for International Health

Lund University

• Systems Virology Group, Department of Translational Medicine
• Laboratory for CNS Disease Modeling

University of Porto

• Computer Sciences Department
• Community Medicine, Information and Health Decision Sciences
• Institute of Public Health and National Health Council

Université Paris-Saclay

• Research Center in Public Health
• Maison des Sciences de l'Homme

WHERE CAN YOU GET INFORMATION?

General information: eugloh@rekt.szte.hu

Academic program: Prof. Ferenc Peták, Department of Medical Physics and Informatics, University of Szeged (EUGLOH, academic leader of Work Package for Research and Innovation), petak.ferenc@med.u-szeged.hu

Administrative support: Eszter Sasi-Pokriva, sasi-pokriva.eszter@med.u-szeged.hu

Registration
Click here to sign up!
Registration deadline: June 15, 2020.