Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Identify new applications for Machine Learning in science, engineering, and technology Develop, implement and refine ML techniques Implement parallel ML training on the High Performance Computers Engage in
-
knowledge of computer and system architecture, as well as performance engineering. • Pleasure in taking responsibility, independent and structured way of working, high commitment, communi-cation and team
-
-cell sequencing) Prior experience working with spatial biology approaches, and early-adoption of cutting-edge technologies Prior experience working with Linux and high performance clusters (HPC) R/Python
-
collaboration and mutual learning access to high-performance computing a chance to contribute meaningfully to an ambitious research agenda focused on creating positive impacts for global society and future
-
motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service
-
genomic approaches Application of the modeling approaches in relevant downstream tasks Co-development of high-performance computing AI training codes for the first European Exascale Supercomputer JUPITER
-
performance and degradation of electrolysis in dependence on different operating modes Your Profile: Completed Master’s degree in chemical engineering, computational engineering, computational mathematics, data
-
02.07.2024, Wissenschaftliches Personal The Professorship of Energy Management Technologies at TUM’s School of Engineering and Design is looking for a Postdoc or Doctoral Candidate (f/m/d) in
-
Do a PostDoc in Pathology AI! 11.10.2023, Wissenschaftliches Personal The Computational Pathology Lab at the Technical University of Munich (TUM), TUM School of Computation, Information and
-
17.11.2022, Wissenschaftliches Personal TUM School of Management at TUM Campus Heilbronn invites applications for a Postdoc position (m/f/x) in the area of Entrepreneurship / Family Enterprise