Research Training Group WisPerMed (eng)

Artificial intelligence and medical decision support regarding malignant melanoma.

Research in a highly interdisciplinary team of computer scientists, psychologists and physicians! We combine methods of information extraction, knowledge modelling and user interaction with machine learning and psychological studies to shape the future of medicine. WisPerMed involves the University of Applied Sciences and Arts Dortmund, the University of Duisburg-Essen and the University Hospital Essen. An attractive environment with a challenging curriculum awaits you.

Please indicate the project you are applying for, in your application.

Your qualifications and skills:

  • Excellent university degree in computer science, medical computer science, psychology, or similar
  • High level of motivation, initiative and willingness to teamwork
  • Very good written and spoken English skills

Principal Investigators:

Notes on application / documents to be submitted:

  • Cover letter
  • Curriculum vitae
  • Copies of certificates
  • 1-2 pages of motivation on the selected Research Project
  • Text sample (e.g. publication)
  • Please fill out the document „Basic information for WisPerMed applications“ and attach it signed to your application
  • Please send your application documents via e-mail to Mr. Becker (contact person for questions) Matthias Becker

Research Projects / Downloads:

Name Beschreibung Download
Basic information Application WisPerMed Download
Computer Science, FH Dortmund, PI: Prof. Dr. Britta Böckmann Download
Computer Science, UK Essen, PI: Prof. Dr. Peter Horn Download
Computer Science, Universität Duisburg-Essen, PI: Prof. Dr. Torsten Zesch Download
RP04 - Analysis of clinical image data including additional clinical data
Computer Science, UK Essen, PI: PD Dr. Felix Nensa Download
RP05 - Analysis of pre-clinical image data including additional clinical data
Computer Science, FH Dortmund, PI: Prof. Dr. Markus Kukuk Download
Computer Science, UK Essen, PI: Prof. Dr. Sven Rahmann Download
RP07 - Treatment decision for melanoma patients Identification of similar patients at PoC
Statistics/Epidemiology, UK Essen, PI: Prof. Dr. Andreas Stang Download
RP08 - Predictive modeling for patient similarity based on an openEHR model of melanoma
Computer Science, UK Essen, PI: Prof. Dr. Britta Böckmann Download
Computer Science, FH Dortmund, PI: Prof. Dr. Sabine Sachweh Download
Computer Science, Universität Duisburg-Essen, PI: Prof. Dr. Norbert Fuhr Download
RP11 - Giving information to counteract wrong conclusions - Empirical study on acceptance en
Psychology, Universität Duisburg-Essen, PI: Prof. Dr. Nicole Krämer Download
RP12 - Evaluation and proposal system for current and relevant literature at the PoC en
Computer Science, FH Dortmund, PI: Prof. Dr. Christoph Friedrich Download

Integration Research Projects:

 

 

 

 

 

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