Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- Technical University of Munich
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Max Planck Institute for Marine Microbiology
- Saarland University
- Constructor Knowledge Labs gGmbH
- European Molecular Biology Laboratory (EMBL)
- Max Planck Institute for Gravitational Physics, Potsdam-Golm
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Max-Planck-Institut für Struktur und Dynamik der Materie
- University of Bremen
- University of Tübingen
- 2 more »
- « less
-
Field
-
Max-Planck-Institut für Struktur und Dynamik der Materie | Hamburg, Hamburg | Germany | 3 months ago
computing technologies and accelerator (GPU) computing. Familiarity with scientific software toolchains, including compilers, numerical libraries, parallel programming frameworks, and scientific software
-
Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 3 months ago
Qualifications Experience in Linux system administration and HPC system administration. Experience with parallel computing technologies and accelerator (GPU) computing. Familiarity with scientific software
-
, optimization, or high-performance computing is highly desirable Experience with quantum software frameworks (e.g., Qiskit, PennyLane, Cirq) or HPC programming (MPI, OpenMP, CUDA, GPU computing) is considered
-
European Molecular Biology Laboratory (EMBL) | Brandenburg an der Havel, Brandenburg | Germany | about 2 months ago
biology and in IT, including on-site HPC and GPU farms and multiple channels to scale-out to European supercomputing resources. Collaborative, Interdisciplinary Environment: Thrive within a network of
-
at the interface of AI, imaging, microbiome research, and laboratory automation within a Helmholtz-wide collaboration. Access to state-of-the-art live-cell imaging, microfluidics, laboratory automation, and GPU
-
feedback; optimize for real-time performance; distribute computations between GPU and device-proximal processors; ensure precise synchronization with visual and auditory stimuli. Real-Time Collision and
-
• Access to modern computational infrastructure, including GPU clusters and supercomputers • Scientific freedom and excellent development opportunities • Salary according to the German public service pay
-
and GPU servers for the delivery of the PC exercises, and jointly supervising the PC exercises during the course What you contribute Student on a STEM degree programme Good knowledge of at least one of
-
plasma physics (XGC, IPPL). Expected qualifications: A Master's degree in Computer Science or Applied Mathematics. Necessary knowledge: Modern C++, GPU computing with CUDA/SYCL, MPI, Krylov solvers
-
tumorboard workflows Access to unique longitudinal clinical datasets, established molecular tumorboards and high-performance computing infrastructure (including NVIDIA B300 GPUs) Funding for open-access