35 data-mining-post-doc Postdoctoral research jobs at Technical University of Munich in Germany
Sort by
Refine Your Search
-
[map ] Subject Area: Applied and Numerical Analysis Appl Deadline: 2025/09/15 11:59PM (posted 2025/08/05, listed until 2025/12/31) Position Description: Apply Position Description Doctoral and
-
track record of achievements will also be considered. Further information on the scientific interests of the SNQS group can be found at the group webpage. https://www.wsi.tum.de/views/groups.php?group
-
of Computation, Information and Technology (CIT), located on the Garching Campus, starting October 01, 2025 or later. The group is seeking a highly qualified candidate for a postdoctoral position who possesses
-
us We are TUM’s unique Pathology AI lab developing new machine learning (ML) methods for automatically analyzing digital pathology data and related medical data. Such methods include the automatic
-
part of the School of Computation, Information and Technology (CIT) of TUM. The position is for 2 years and follows state regulations in accordance with the Collective Agreement for the Public Service
-
network with partners from science and industry and take on responsibility at the chair right from the start. In your role as a post-doc, you will combine team and institute-oriented tasks with in-depth
-
management systems of the future together! Our research focus: The researchers working at the Professorship of Energy Management Technologies are focusing on the design and evaluation of innovative data- and
-
are looking forward to your application, including a letter of motivation describing your skills and research interest, your CV, and contact information for two references. Please send your application
-
will be required to submit personal information. Please be sure to refer to the respective Privacy Policy of each institution. By submitting your application, you confirm that you have read and
-
The Professorship of Public Policy for the Green Transition (PPGT) focuses on designing and evaluating policies for the green transition worldwide. The group uses a variety of methods from automated data analyses