Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Forschungszentrum Jülich
- University of Copenhagen
- Harvard University
- AALTO UNIVERSITY
- Aalto University
- Technical University of Denmark
- University of Lund
- <span lang="en">Universitätsklinikum Hamburg-Eppendorf</span>
- CEA
- Chalmers University of Technology
- ETH Zurich
- Fraunhofer-Gesellschaft
- Ghent University
- SciLifeLab
- Singapore-MIT Alliance for Research and Technology
- UNIVERSITY OF HELSINKI
- University of Antwerp
- University of Helsinki
- University of New Mexico
- University of Oslo
- University of Texas at Austin
- University of Toronto
- University of Utah
- 13 more »
- « less
-
Field
-
, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing infrastructure including LUMI, and the Aalto
-
foundational computational literacy—including programming, data handling, quantitative methods, and confident research use of Python, R, Git, and Jupyter—is a baseline for the appointee, not the position’s
-
and graduate research assistants, and presenting at design reviews and project milestones. Conducts benchmarking and performance evaluation of LLM serving and agentic workflows on high-performance GPU
-
appointment. Strong foundational computational literacy—including programming, data handling, quantitative methods, and confident research use of Python, R, Git, and Jupyter—is a baseline for the
-
mathematical problem-solving skills Excellent programming skills (Python and modern machine learning frameworks like PyTorch, JaX, etc.) and experience in working with HPC/GPU environments A track record
-
will leverage GPU computing on the LUMI supercomputer, one of Europe’s fastest, to perform state-of-the-art molecular simulations. The position includes secondments to industry partners for
-
trustworthy software and systems, spanning foundations, programming languages, tools and practical methods that help shape dependable digital infrastructures. This project is a collaboration between the
-
<span lang="en">Universitätsklinikum Hamburg-Eppendorf</span> | Hamburg, Hamburg | Germany | 21 days ago
resources for travel and conferences
- Work on cutting-edge AI methods with direct clinical relevance
- Access to large-scale multimodal biomedical datasets and modern GPU infrastructure
-
programming, experience with Git and modern deep learning frameworks (PyTorch/Jax/TensorFlow) Ability to work independently and in collaboration with researchers, engineers, and domain experts. Strong
-
, Meteorology, or a related computational field. Strong programming skills in Python and deep learning frameworks (PyTorch or TensorFlow), or a strong willingness to learn. Interest in geometric deep