Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Forschungszentrum Jülich
- CNRS
- DAAD
- Universite de Moncton
- ; University of Southampton
- Curtin University
- Delft University of Technology (TU Delft); 16 Oct ’25 published
- Erasmus MC (University Medical Center Rotterdam); Rotterdam
- European Magnetism Association EMA
- Ghent University
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- Instituto Superior Técnico
- Instituto de Telecomunicações
- Karlsruher Institut für Technologie (KIT)
- Medizinische Universitaet Wien
- National Renewable Energy Laboratory NREL
- Nature Careers
- Radboud University
- Reykjavik University
- Technical University of Denmark
- Technical University of Munich
- The University of Manchester;
- University College Dublin
- University of Birmingham;
- University of Southern Denmark
- VU Amsterdam
- 16 more »
- « less
-
Field
-
latest predictive and generative AI for materials, we can offer you the best possible foundation. We seek two highly motivated and talented PhD students to join our group at DTU Compute, and we offer
-
GPU clusters and high-performance computing facilities to accelerate your research. Good transport links in a central location with a free job ticket as a contribution to climate protection Low-cost
-
distributed computing for EMT simulations. • Experience with software development in Python, C++, or other programming languages. • Familiarity with GPU acceleration of numerical solvers, parallel sparse
-
cardiology research with cutting-edge AI methods Top-Tier Mentorship: Collaborate with leading experts in AI, visualization, and medicine Compute Power: Access state-of-the-art GPU clusters and high
-
technological platforms on site. The PhD student's work will be carried out at the IGBMC's integrative biology center. He/she will have privileged access to the team's computing server (GPU node) and the
-
scientific computing. You are proficient in several languages (Python, C/C++, or Fortran), with extensive knowledge in AI/ML and parallel programming (GPU, multi-threading, etc.). You have strong software
-
optimisation or machine learning (e.g., Python/Matlab/C++; PyTorch/TensorFlow). Experience in signal processing/wireless or SDR/GPU prototyping is a plus. Demonstrated research potential is highly desirable
-
Your research will be conducted at the Department of Urology, the Department of Pathology and Clinical Bioinformatics at Erasmus MC in Rotterdam, and in collaboration with the Computational
-
22 Aug 2025 Job Information Organisation/Company Reykjavik University Department Human Resources Research Field Computer science Engineering Researcher Profile First Stage Researcher (R1) Recognised
-
degree in the above mentioned or related fields. What we offer State of the art on-site high performance/GPU compute facilities A team of 30+ expert colleagues A family friendly, green campus with on-site