Sort by
Refine Your Search
-
Listed
-
Employer
- KTH Royal Institute of Technology
- Chalmers University of Technology
- Lunds universitet
- University of Lund
- Linköping University
- KTH
- University of Gothenburg
- Department of Forest Genetics and Plant Physiology
- Göteborgs Universitet
- Karolinska Institutet (KI)
- Linnaeus University
- Linneuniversitetet
- Nature Careers
- University of Skövde
- 4 more »
- « less
-
Field
-
. Such methods are founded on mathematical models and algorithms from the field of mathematical optimization. The dose planning is based on medical images and a treatment protocol, and it is evaluated by using key
-
This PhD position is funded by the Swedish Research Council (VR) and offers an exceptional opportunity to contribute to cutting-edge research in continuous-variable (CV) quantum computing. You will
-
. Use of flow cytometry to enumerate cells. Methods development, optimization and state-of-the-art techniques. Training of bachelor, master, PhD students, and postdocs in best-practice-protocols. Writing
-
nanotechnology at Chalmers. Chalmers is now offering three Excellence PhD positions in the field of Nanoscience and Nanotechnology, as well as 12 additional PhD positions with specific research topics within
-
important examples such as Schrödinger Cat states, which are superpositions of coherent states with different phases. This project focuses on the optimal preparation of Schrödinger Cat states in a propagating
-
from talented and highly motivated candidates to pursue a PhD in machine learning at KTH, Sweden, and NTU, Singapore. This is a fully funded, joint doctoral position that will lead to a joint PhD degree
-
: Simulation, design and characterization of quantum processors Development and optimization of nano-fabrication processes for large-scale devices Design and implementantion of automatic calibration techniques
-
about research in the field of nanoscience and nanotechnology at Chalmers. Chalmers is now offering three Excellence PhD positions in the field of Nanoscience and Nanotechnology, as well as 12 additional
-
Optimal Transport for Optimization and Machine Learning Appl Deadline: 2026/02/04 11:59PM (posted 2025/12/19, listed until 2026/02/04) Position Description: Apply Position Description Doctoral student in
-
This project focuses on the development of quantum–classical modeling strategies for multiphase flow systems. The PhD topic is on exploring how emerging quantum computing methods can be integrated with classical