103 machine-learning "https:" "https:" "https:" "https:" "U.S" uni jobs at Nature Careers in Germany
Sort by
Refine Your Search
-
the development of the faculty's newly created research cluster “Biotic Interactions in the Anthropocene” (https://go.ur.de/biotic-interactions) are desirable. It is expected that the professorship will strengthen
-
(RCB), the research focus “Ribonucleases” (https://go.ur.de/rna-biologie ) and the Regensburg Center of Ultrafast Nanoscopy (RUN) also provides a wide range of opportunities for collaboration. Active
-
, Cambridge, Heidelberg, Innsbruck, and Munich. The Stegle group is jointly based at DKFZ and EMBL and embedded in Heidelberg’s vibrant ecosystem for data science, machine learning, and computational biology
-
, or quantitative behavioral biology etc. The position is intended to strengthen the faculty’s research focus on “Biotic Interactions in the Anthropocene” (https://go.ur.de/biotic-interactions), ideally collaborating
-
regulations. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz. The closing date for applications is February 2, 2026. Please apply
-
-Wittenberg and to actively pursue further professional development. The willingness and ability to teach in both German and English are required. Further duties and responsibilities are stipulated in section
-
to the success of the whole institution. At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Robotics offers a position as Research Associate / PostDoc (m/f
-
teams, team-oriented and willing to learn and work independently a German driver’s license (class B) is mandatory advanced command of English is essential while basic knowledge of German is desirable We
-
. Qualified candidates are asked to apply via the Appointment Portal of the University of Bonn (https://berufungsportal.uni-bonn.de/openProcedureList.do ). The application can be submitted in German or English
-
and other multimodal datasets Design and fine-tune machine learning and deep learning models to extract meaningful patterns and predict metastatic behavior Collaborate closely with experimentalists