Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
2038 - 03:14 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
-
infrastructure research programme distributed across several institutes and universities in Germany. The programme aims at innovating the data landscape available for social science research by improving
-
tasks: You will work together with renowned astrophysicists and computer scientists in the DFG-funded “Dynaverse” Excellence Cluster You will invent, implement, and benchmark novel AI tools (reinforcement
-
to excellent high-performance computing facilities, measurement equipment and labs, e.g., a unique lab with variable acoustics (see demos on YouTube channel: https://www.youtube.com
-
training schemes for large models on high-performance computers like JUWELS and JUPITER at the Jülich Supercomputing Center. If you`re passionate about AI research and eager to make a real-world impact, we
-
Your Job: Investigate current challenges and bottlenecks in power flow analysis for large scale electrical distribution grids Apply machine learning/AI or surrogate modeling (e.g., neural networks
-
, safe and socially just energy supply system based on renewable energies. We contribute to this with our research priorities of energy supply, energy distribution, energy storage and energy use. We
-
program generation and optimization Verification, testing and security of software systems Explainability of AI and of software engineering Software for distributed, highly-parallel AI systems Intelligent
-
“ button. Website for additional job details https://stellenboerse.uni-mainz.de/jgu/job/51966 Work Location(s) Number of offers available1Company/InstituteFB 08 Physics, Mathematics, and Computer
-
Mathematics at the Technical University of Munich (TUM) invites applications for one PhD position. The student will work on developing scalable distributed preconditioners in Ginkgo (https://github.com/ginkgo