Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- Forschungszentrum Jülich
- Nature Careers
- CNRS
- Inria, the French national research institute for the digital sciences
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- AIT Austrian Institute of Technology
- Delft University of Technology (TU Delft)
- ETH Zürich
- Eindhoven University of Technology (TU/e)
- Electronics and Informatics Department
- Leibniz
- Reykjavik University
- Technical University of Munich
- University of Antwerp
- University of Nottingham
- University of Nottingham;
- University of Plymouth
- University of Southern Denmark
- University of Stavanger
- Utrecht University
- VIB
- Vrije Universiteit Brussel (VUB)
- 12 more »
- « less
-
Field
-
regulation to neuronal function and circuits. State-of-the-Art Infrastructure: Access to advanced sequencing, imaging platforms, and high-performance GPU computing. Research Environment: An international
-
-of-the-Art Infrastructure : Access to advanced sequencing, imaging platforms, and high-performance GPU computing. Research Environment : An international, collaborative, and stimulating research setting at a
-
-following inverters. Implementing and optimizing scalable algorithms for transient and stability analyses on HPC architectures (CPU, GPU, hybrid). Enhancing the numerical robustness and efficiency of existing
-
the development of scalable software tools and pipelines, potentially leveraging GPU/FPGA accelerators. Our aim is to build next-generation molecular atlases for chronic diseases and to improve patient
-
-design with accelerators (FPGAs, GPUs, near-memory systems) to achieve real-time, energy-efficient AI for high-tech industry applications. Work with leading companies like ASMPT and shape the future of AI
-
degree in physics, mathematics or any related field; correspondingly, Postdocs hold a PhD or equivalent degree in the above mentioned fields. What we offer State of the art on-site high performance/GPU
-
Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 3 months ago
. What we offer State of the art on-site high performance/GPU compute facilities Competitive research in an inspiring, world-class environment A wide range of offers to help you balance work and family
-
approaches, the application of meta learning, and the integration of convex optimization layers Increase inference efficiency (e.g., GPU acceleration) and assess the applicability domain of learned algorithms
-
publications at top-tier venues such as CVPR, ICCV, ECCV, NeurIPS or ICRA. You will have access to extensive compute resources at TU Delft, ranging from local GPU servers to large-scale HPC infrastructure
-
to the development of advanced language models and derived use cases by focusing on one or more of the following topics in their PhD project: Training and inference of ML models on GPU clusters. Method development