56 application-programming-android Postdoctoral positions at Technical University of Munich in Germany
Sort by
Refine Your Search
-
CW and femtosecond optical spectroscopy methods. Preference will be given to candidates who already have some postdoctoral experience, but applications from recently graduated PhDs with an excellent
-
research studies for automated image analysis. In particular, you will: Plan, develop, and implement AI/ML algorithms for pathology image analysis. Integrate multi-modal data (e.g., genomics, clinical data
-
seeks to increase the proportion of women in those areas where they are underrepresented, therefore applications from women are explicitly en-couraged. Data protection As part of your application for a
-
) - Semantic 3D Scene Understanding - Face / Body Tracking, 3D Avatars - Non-Linear Optimization - Media Forensics / Fake News Detection How to Apply: Follow the instructions on our application platform: https
-
position (pay group TV-L 13) is initially limited to 2 years. Further employment is possible and intended. Your application: We look forward to receiving your application by July 27, 2025. Please email it as
-
institutions. You support us in making this cooperation efficient and productive. As Research Associate you will also support our teaching activities in several Bachelor and Master programs offered by the School
-
the representation of women in science. Accordingly, we strongly encourage applications from qualified female candidates. How to apply Please send your application materials to office.nen@xcit.tum.de, with email
-
for livestock systems in East Africa, and in the subtropics in Latin-America. The research programme will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We
-
will be tested and verified with applications from geodynamics. For more information consider the job description here . Tasks Tasks in the project include the efficient implementation of new models
-
pathology images and related medical data in order to detect, segment and quantify diseases such as cancer. Further applications are the discovery of new biomarkers and the prognosis of outcome for patients