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  • Therefore, compensation for disadvantages must be requested early from the respective Examination Committee to determine, on an individual basis, how the adjustments can be applied to the specific academic work or examination in advance.
  • Whether you are eligible for compensation for disadvantages depends on two factors: the submission of a medical certificate from a specialist confirming your health impairment and evidence of how this condition limits your ability to fulfill academic requirements. If you have any questions or would like to request a consultation in advance, fee
  • *In exceptional cases, the examination committees will make decisions on an individual basis.
  • Information on compensation for disadvantages for Students Students with disabilities, chronic illnesses, or other long-term health impairments* that hinder their ability to fulfill academic and examination requirements can apply for compensation for disadvantages. This includes not only students with physical or sensory impairments but also tho
  • Information Sheet on the Maternity Protection Act (MuSchG) – Information for Lecturers and Supervisors With the revision of the Maternity Protection Act (MuSchG) on January 1, 2018, it also applies to pregnant and breastfeeding students. We kindly ask you, as a lecturer or supervisor, to observe the following: 1. Notification of Pregnancy and Brea
  • 1056. Infrastructure
    Date: 12.06.2026
  • 1057. Infrastructure
    Date: 21.12.2021
    Infrastructure of the University All conditions are different, making it difficult to provide a comprehensive list of what is possible. If you feel something is missing, please do not hesitate to contact us.
  • 1058. Infrastructure
    Date: 18.06.2026
    ESTABLISHED COLLABORATION NETWORK ------------------------------------------------------------------------------------------------ We collaborate with leading academic and research partners, clinical partners and industry worldwide. Academic Partners Clinical Partners Industrial Partners International Collaborations
  • 1059. Infrastructure
    Date: 18.06.2026
    DATA SCIENCE & AI Signal processing - Statistical analysis - Machine learning Pattern recognition - Predictive modelling - AI-assisted biosensing
  • 1060. Infrastructure
    Date: 09.01.2025
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