Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Forschungszentrum Jülich
- Delft University of Technology (TU Delft)
- Technical University of Munich
- UCL
- University of Basel
- University of Birmingham;
- University of Nottingham
- AIT Austrian Institute of Technology
- Academic Europe
- CNRS
- Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy
- DAAD
- Delft University of Technology (TU Delft); 16 Oct ’25 published
- Delft University of Technology (TU Delft); Published yesterday
- European Magnetism Association EMA
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- Imperial College London;
- Instituto Superior Técnico
- Instituto de Telecomunicações
- Karlsruher Institut für Technologie (KIT)
- National Renewable Energy Laboratory NREL
- Nature Careers
- Technical University of Denmark
- The CoReACTER (@ University College Dublin)
- The University of Edinburgh
- University College Dublin
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Published today
- University of East Anglia
- University of Exeter
- University of Luxembourg
- University of Southern Denmark
- Vrije Universiteit Amsterdam
- Vrije Universiteit Amsterdam (VU)
- 24 more »
- « less
-
Field
-
, mobile platforms, industrial sensors/cameras, GPU workstations, and cloud platforms. Training covers research methods, scientific writing, open-source best practices, and impact/engagement. You’ll be
-
limited to deep learning Experience utilising GPU enabled High-Performance Computing environments is an asset Open minded critical thinker, willing to actively contribute to the further development of multi
-
resources, including 200+ NVIDIA A100 GPUs and group workstations. Image quality will be assessed using quantitative metrics and clinical expert qualitative review. Privacy safeguards will be built
-
Karlsruher Institut für Technologie (KIT) | Karlsruhe, Baden W rttemberg | Germany | about 2 months ago
suitable for part-time employment. Starting date: 17.10.2025 Job description: Design, develop and apply an flexible and integrative multiscale FWI using GPU-accelerated spectral-element simulations (Salvus
-
, large-scale medical datasets and high-performance computing infrastructure (including NVIDIA B300 GPUs) Funding for publications, international conferences, and research mobility grants Support from TUM
-
; • Have experience in software development/engineering in at least one general-purpose programming language (e.g., Python, Julia, C/C++, Fortran, Rust). Experience with scientific, numerical, and/or GPU
-
background in machine learning, deep learning, and/or computer vision; Experience in programming. Python is a must, lower-level GPU programming experience is a bonus; Strong grasp on the English language
-
applied Machine Learning Hands-on experience with High Performance Computing Systems Basic knowledge of System Architecture of Supercomputers and NVidia-GPUs Practical experience with ML/DL workflows and
-
IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 2 months ago
international projects, · collaboration with application developers and domain experts on highly scalable parallel applications with focus on: - development and implementation of parallel aplications, - GPU
-
in high-performance computing using MPI. Experience in GPU programming using OpenACC, CUDA, CUDA-Fortran, Julia, or related tools. Experience in CFD meshing software. TU Delft (Delft University