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profile: Successful degree (Master's, Diploma) in the field of computer science, software systems engineering, digital technologies or comparable qualification Openness to varied and exciting topics and
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Description The interdisclipinary and highly international PhD program Medical Research in Epidemiology and Public Health ( PhD EPH ) at the Institute for Medical Information Processing, Biometry
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Description For our location in Hamburg we are seeking: PhD Student in Molecular and Structural Microbiology – Microbiome Science Remuneration Group 13 | Limited: 3 years | Starting date: earliest possible | ID: FSDO020/2025 | Deadline: 15.01.2026 | Full-time/Part-time DESY, with more than...
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an interdisciplinary team of biologists and clinicians Well-equipped laboratory with personal mentoring Integration into a structured PhD program at Münster University and the PodoSigN research training group This is a
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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in South Asia with the capacity
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, their achievements and productivity to the success of the whole institution. The Faculty of Computer Science, Institute of Theoretical Computer Science, the newly established Chair of Algorithmic and Structural Graph
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support of data/metadata formats developed in the group Integration of the developed software into the computational environments and data handling routines Presentation of the scientific results
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research team led by Dr. Michael Stolpe and the doctoral program of the interdisciplinary Research Alliance Leibniz INFECTIONS. The group cooperates closely with leading medical researchers, biologists and
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. This joint research project is organized as an interdisciplinary graduate school, combining individual supervision with intensive collaboration across institutions. The structured qualification program
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phases Your profile Excellent Master’s or Diploma degree in medical physics, physics, computer science, medical engineering or a closely related field with a strong interest in data science and