44 postdoc-computer-vision PhD positions at Technical University of Munich in Germany
Sort by
Refine Your Search
-
, University of Galway), Africa and the Americas. The Chair of Livestock Systems is newly established at TUM includes one postdoc, two PhD students, visiting researchers and technical staff. The team involves a
-
new standards in computational metabolomics – facilitating biomarker discovery, advancing personalized health monitoring, and improving clinical decision-making. The work will be carried out under close
-
19.05.2025, Wissenschaftliches Personal The Chair of Agrimechatronics at Technical University of Munich (TUM) invites for applications for the position of a Research Associate (Doctoral Student). M/F/D. Applications from disabled persons with essentially the same qualifications will be given...
-
15.04.2025, Wissenschaftliches Personal The Lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is inviting applications for a fully funded PhD position in interpretable machine learning for dementia prediction. see here:...
-
policy, economic sociology, and international relations. Methodologically, it draws on and combines both quantitative and qualitative methods, with a particular focus on computational and multi-method
-
or computational science Strong mathematical skills and interest in developing new mathematical methods Good knowledge of mathematical/numerical optimization methods or deep learning methods Enthusiasm
-
at conferences. The PhD program has a duration of three years and with the PhD degree offered by TUM. Qualifications A Master’s degree in Operations Management, Computer Science, Industrial Engineering, Economics
-
(https://soilsystems.net/ ), a Priority Programme (SPP 2322) funded by the Deutsche Forschungsgemeinschaft (DFG; German Research Foundation). Within SoilSystems, scientists from different disciplines from
-
profile: • Very good degree (Master or Diploma) in aerospace engineering, mechanical engineering, computer science or a comparable field. • Experience in machine elements, structural analysis, fault
-
distinguish you both professionally and personally. • You have obtained very good diploma or master’s degree in forest sciences, economics, environmental science, geo-information science, landscape ecology