Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Eindhoven University of Technology (TU/e)
- Queensland University of Technology
- Wrocław University of Science and Technology
- Graz University of Technology
- Grenoble INP - Institute of Engineering
- Lulea University of Technology
- Luleå University of Technology
- Luxembourg Institute of Science and Technology
- Technical University of Munich
- Tilburg University
- University of Luxembourg
- Blekinge Institute of Technology
- Chalmers University of Technology
- ETH Zürich
- Karlsruhe Institute of Technology •
- Kurt Schwabe Institute for Measuring and Sensor Technology e.V. (KSI) Meinsberg
- Luxembourg Institute of Science and Technology (LIST)
- Norwegian University of Life Sciences (NMBU)
- Rochester Institute of Technology
- Silesian University of Technology
- Swansea University
- Swinburne University of Technology
- University of Birmingham
- University of Warwick
- Wageningen University & Research
- 18 more »
- « less
-
Field
-
systems and control, applied mathematics, engineering, or a related field A strong background or interest in systems and control, applied mathematics, machine learning, and affinity with biological systems
-
for the position. Preferred selection criteria Experience with machine learning and neural networks Basic knowledge of MR physics Experience with signal processing and/or image processing Experience with Linux
-
Knowledge of machine learning, Large Language Models (LLMs), Vision Language Models (VLMs), or generative AI Experience with Retrieval-Augmented Generation (RAG), AI agents, model-driven engineering, DevOps
-
companies. Hybrid & Data-Driven Modeling: Apply machine learning and hybrid physics-AI approaches to model industrial systems, accounting for physical constraints, sensor noise, and heterogeneous datasets
-
for recruitment positions for general criteria for the position. Preferred selection criteria Good oral and written presentation skills in Norwegian/Scandinavian equivalent level or acquire them during the course
-
meet the requirements for admission to the faculty's doctoral programme in Engineering Cybernetics . Strong programming skills, in particular Python, and practical experience with modern machine learning
-
Engineering or related disciplines, provided you have a strong interest in communication systems and networking. If you have a solid technical background and are excited about future wireless and satellite
-
(or equivalent) to model neutron transport and tritium breeding behaviour within breeder blanket configurations. The project will then extend toward accelerated predictive methodologies using machine learning and
-
imaging. Experience with scientific programming (e.g., MATLAB, Python and/or C++). Excellent analytical and problem-solving skills. Interest in image reconstruction, beamforming, machine learning, and
-
-trivial software. Solid understanding of algorithms, numerical methods, scientific computing, or machine learning. Ability and motivation to write clean, maintainable and well-tested code. Strong interest