Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- Umeå University
- SciLifeLab
- Lunds universitet
- University of Lund
- Blekinge Institute of Technology
- European Magnetism Association EMA
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- Lulea University of Technology
- Luleå University of Technology
- Umeå universitet
- Uppsala universitet
- 3 more »
- « less
-
Field
-
of this type of experiment for battery science, as well as for many other research domains. This project will also include the development of iterative reconstruction and noise suppression algorithms towards
-
Description of the offer : The Atomistic Spin Dynamics group at Uppsala University is seeking a motivated and ambitious PhD student in theoretical and numerical nanomagnetism, with a focus on
-
could develop the algorithms, models and software that: design and simulate self-assembling DNA nanostructures and molecular machines; turn artificial molecular networks into images — reconstructing where
-
, algorithms, and tools for human-centered intelligent realities, to lead the way for future immersive, user-aware, and smart interactive digital environments. The project is divided into five separate Research
-
develop algorithms for this purpose. The group collaborates with several national and international research groups, edits one of the major journals on data privacy (Transactions on Data Privacy), and has
-
offers safe, favourable working conditions? We welcome you to apply for a PhD position at the Department of Information Technology, Uppsala University. The position is part of the SecReSy4You Doctoral
-
learning tools and algorithms. The position will also require you to contribute to the development of data-driven methods. The nature of LDMX as an international project will require you to work
-
possible. One or two extended research visits are encouraged during the doctoral study. Applicants should have a strong interest in the mathematical analysis of algorithms in general and cryptography in
-
packages, solve SLAM, use imitation learning algorithms to learn pick-and-place actions, design HRI experiments with users, evaluate data, and share the code and benchmarks in open repositories
-
, use imitation learning algorithms to learn pick-and-place actions, design HRI experiments with users, evaluate data, and share the code and benchmarks in open repositories. This postdoctoral position is