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Donna Ankerst

Professor

Technical University of Munich

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Germany

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Research Interests

Epidemiology

30%

Biostatistics

50%

Cardiovascular Risk

20%

Genetic Epidemiology

20%

Risk Prediction

20%

Data Science

20%

Esophageal Disorders

10%

Recent Grants

Grant: Close

Dynamic, multi-cohort prediction modeling of prostate biopsy outcome

Open Date: 2014-08-01

Close Date: 2019-07-31

Grant: Close

PSA BASED EARLY DETECTION OF PROSTATE CANCER RECURRENCE

Open Date: 2005-09-13

Close Date: 2009-12-31

Positions1

Publisher
source

Can Dincer

University Name
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Technical University of Munich

PhD and Postdoc Positions in Computation, Information and Technology at Technical University of Munich

The Technical University of Munich (TUM) is announcing new doctoral and postdoctoral positions at the School of Computation, Information and Technology (CIT). These opportunities are open for candidates interested in research areas such as computation, information technology, sensors, wearables for healthcare, biostatistics, data science, and computer engineering. The positions are available through the TUMApply platform, which provides a centralized, transparent, and GDPR-compliant application process with clear job advertisements and automatic updates. Highlighted openings include a postdoctoral researcher position in Biostatistics and Data Science (Prof. Donna Ankerst) and a doctoral position in Coding for Wireless (Prof. Antonia Wachter-Zeh). The school offers a dynamic research environment with access to cutting-edge facilities and interdisciplinary collaboration opportunities. Funding is typically provided for 3–4 years, with full-time employment and benefits according to German academic standards. Applicants should possess a relevant degree (Master's for PhD, PhD for postdoc) in computer science, mathematics, statistics, engineering, or related fields. A strong academic record and demonstrated research interest in the advertised areas are preferred. Proficiency in English is required, and specific eligibility criteria may vary by position. Interested candidates should apply via the TUMApply portal, where detailed job ads and application instructions are available. Additional openings from other schools and departments can be found on the TUM job portal. For further information, visit the provided links to the TUMApply platform and the TUM job portal. Start your research journey at one of Germany's leading universities in a vibrant academic community focused on innovation and excellence in computation and information technology.

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Collaborators2

Birgit Linkohr

Helmholtz Zentrum München Deutsches Forschungszentrum für Umwelt und Gesundheit

GERMANY
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Tobias Nordström

Karolinska Institutet

SWEDEN
View Details