Donna Ankerst
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About
Professor Donna Ankerst is a faculty member at the Technical University of Munich, Germany. Her research areas include probability modeling, statistical inference in cancer screening, and clinical risk prediction. She has authored several recent articles addressing topics such as the influence of weather on fatal accidents and comparative studies of risk prediction models. Her work contributes significantly to the fields of biostatistics and epidemiology.
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
Positions (1)
Can Dincer
Technical University of Munich
2 months ago
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.
2 months ago
Articles (6)
Year:
2025
Year:
2023
Year:
2022
Year:
2022
Year:
2021
Year:
2020
Collaborators (2)
Birgit Linkohr
Helmholtz Zentrum München Deutsches Forschungszentrum für Umwelt und Gesundheit
Tobias Nordström
Karolinska Institutet
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