117 high-performance-computing positions at Technical University of Munich in Germany
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
-scale training of a high-performance foundation model using a dedicated GPU cluster Fine-tuning the pretrained model on real-world health data from lifespin’s proprietary database Collaborating closely
-
on performance, there is a possibility of renewal for a further three years. The Chair for Philosophy and History of Science and Technology comprises a highly interdisciplinary, public-interest-minded
-
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
-
to perform theoretical physics research at the interface of quantum information, condensed matter and high-energy physics. A strong background and interest in one or more of the following topics is desirable
-
research in the area of entrepreneurship and family enterprise while participating in the doctoral program. TUM School of Management at TUM Campus Heilbronn invites applications for a Research Associate (m/f
-
modeling and prediction Integration of perception, planning, and control for robust real-time robotic performance Requirements PhD Position: Master’s degree in Robotics, Mechanical Engineering, Electrical
-
technologies (10x Genomics, BD Rhapsody) and high-dimensional flow cytometry to unravel the dynamics of the human immune system. We look for a motivated bioinformatician/computational scientist or postdoctoral
-
, an exciting project at the intersection of design computation, AI, and robotic fabrication. The position is expected to start in August 2025, or as mutually agreed. The position is located at the Professorship
-
, with the prospect of a permanent contract upon successful evaluation. Remuneration is in accordance with the German public tariff scheme (TV-L), salary group E13. About the Climate Center at TUM
-
Computer Science or related fields • Strong background in machine learning • Strong programming skills in Python and experience with deep learning frameworks (PyTorch or similar) • Proficient in spoken and written