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willingness to learn: High-performance computing (distributed systems, profiling, performance optimization), Training large AI models (PyTorch/JAX/TensorFlow, parallelization, mixed precision), Data analysis
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07.08.2025, Wissenschaftliches Personal The Chair of Computational Mathematics at the Technical University of Munich (TUM) invites applications for one PhD position. The Chair of Computational
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the scientific landscape of the institute. You will be part of an innovative project in the field of High Performance Computing, with an emphasis on scientific work rather than client project work. All five team
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professorships). The teaching load is 9 contact hours per week (German: 9 Semesterwochenstunden). Duties: Representation of the field of Computational Linguistics in teaching (9 contact hours per week) in all
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Advertisement for the field of study such as: automation technology, electrical engineering, computer science, cybernetics, aerospace engineering, mechanical engineering, mathematics, mechatronics
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) Willingness to perform animal experiments (FELASA qualification is beneficial) Previous experience with diffusion MRI, biophysical modelling, and tumor models is beneficial High motivation for scientific work
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), ensuring an engaged, high-performing and collaborative environment; Ensure that Programme Managers maintain constructive and effective relationships with partner research institutes and industrial
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programming skills (e.g., Python) and familiarity with high-performance computing environments Experience with quantum programming (e.g., Quantum annealing, Qiskit, etc.) Strong motivation for interdisciplinary
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familiarity with high-performance computing environments Experience with quantum programming (e.g., Quantum annealing, Qiskit, etc.) Strong motivation for interdisciplinary research and teamwork Pronounced
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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