Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Technical University of Munich
- University of Copenhagen
- Aalborg University
- CNRS
- Justus Liebig University Giessen •
- University of Stuttgart •
- Delft University of Technology (TU Delft)
- Durham University
- Forschungszentrum Jülich
- Harvard University
- Jane Street Capital
- KNAW
- KU LEUVEN
- LIVERPOOL JOHN MOORES UNIVERSITY
- NTNU - Norwegian University of Science and Technology
- Wageningen University & Research
- AALTO UNIVERSITY
- AMOLF
- BAM Bundesanstalt für Materialforschung und -prüfung
- Biofyzikální ústav Akademie věd ČR, v. v. i.
- Carnegie Mellon University
- Constructor Knowledge Labs gGmbH
- Duke University
- Eindhoven University of Technology (TU/e)
- Georgia Southern University
- Grenoble INP - Institute of Engineering
- Inria, the French national research institute for the digital sciences
- Iowa State University
- Josep Carreras Leukaemia Research Institute (IJC)
- Karolinska Institutet, doctoral positions
- Leiden University
- Lulea University of Technology
- NTNU Norwegian University of Science and Technology
- National Institute of Research and Innovation
- Norwegian Institute of Bioeconomy Research
- Politehnica University of Timisoara
- Purdue University
- Saarland University
- SciLifeLab
- Technical University Of Denmark
- Technical University of Denmark
- The Ohio State University
- The University of Manchester
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University of Amsterdam (UvA)
- University of Antwerp
- University of Basel
- University of Bonn •
- University of Cambridge
- University of Florida
- University of Innsbruck
- University of Maryland, Baltimore
- University of Michigan
- University of Oslo
- University of Oxford
- University of Texas at El Paso
- 46 more »
- « less
-
Field
-
shared GPU servers to the Delft AI Cluster and the DelftBlue supercomputer. Your supervisors will be Prof. Dariu Gavrila and Dr. Julian Kooij. Job requirements We are looking for a candidate with: An MSc
-
collation, mixed precision, multi-GPU; experiment tracking (W&B or MLflow), configuration management (Hydra), strict seed and artefact reproducibility. Graph machine learning. PyTorch Geometric or DGL
-
research software and working with high-performance or GPU computing environments. Experience publishing or contributing to scientific articles or conference papers. Personal qualifications Good
-
architectures and embedded platforms (ARM Cortex-M, NPU, FPGA, embedded GPU), e.g., via academic courses and/or project courses Research experience (e.g., through a Master thesis work or research internships) is
-
-related discipline. 2) Strong programming ability in optimisation or machine learning (e.g., Python/Matlab/C++; PyTorch/TensorFlow). Experience in signal processing/wireless or SDR/GPU prototyping is a plus
-
computing and GPU infrastructure for the development and evaluation of LLM-, VLM-, and agentic AI solutions Research across the entire automotive software development lifecycle, from requirements and software
-
selection criteria Good oral and written presentation skills in Norwegian, or another scandinavian language Experience with the CUDA programming model for general-purpose GPUs Experience with the OpenCL
-
written presentation skills in Norwegian, or another scandinavian language Experience with the CUDA programming model for general-purpose GPUs Experience with the OpenCL programming model Experience with
-
clinical data, high-end GPU resources, and integration into TWIN-X, an EU Horizon Europe consortium with 18 partners from 12 European countries. You will work with data from TUM University Hospital and
-
, and validated through simulation and experiments. For experiments, IDLab-UAntwerp's world-class research infrastructure, including GPU Lab, Software Defined Radios and programmable beamformers, as