Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Lund
- Umeå University
- SciLifeLab
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Jönköping University
- KTH
- Karlstad University
- Karolinska Institutet (KI)
- Linköping University
- Linköping University (LiU)
- Linköpings universitet, ITN
- Luleå University of Technology
- Lund University
- Lunds universitet
- The Faculty of Technology and Society
- University of Borås
- Uppsala universitet
- Örebro University
- 9 more »
- « less
-
Field
-
Council to establish a center of excellence: Center for modeling adaptive mechanisms in living systems under stress. We are now opening a tenure-track Assistant Professor position in machine learning with
-
of engagement. Read more at: Department of Computing Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven
-
most is how close you stay to nature here. Read more and apply: https://www.umu.se/en/work-with-us/open-positions/assistant-professor-in-computing-science-with-a-focus-on-machine-learning---linked
-
. The research focuses on the areas of human-computer interaction and visualization. It involves designing controlled user experiments and applying AI techniques such as reinforcement learning and foundation
-
energy-efficient and sustainable transport systems through world-class research in tribology and machine elements. Friction losses in vehicle systems still account for a significant portion of global
-
the field of Machine Elements. The main aim of this PhD student position is to strengthen the newly started research on Triboelectrictive nanogenerator (TENG)-based smart lubrication in Machine Elements
-
of Physical Resuorce Theory, Department of Environmental and Energy Sciences. Become a part of the team and contributing to research on current and future mobility service usage and attitudes among car and non
-
Theory, Department of Environmental and Energy Sciences. Become a part of the team and contributing to research on current and future mobility service usage and attitudes among car and non-car owners
-
. Knowledge of PyTorch and hands-on Python programming. Knowledge of machine learning and robotics, or foundation models. Awareness of diversity and equal opportunity issues, with specific focus on gender
-
a doctoral student with a strong background in machine learning, mathematics, and modeling, and an interest in biological systems. The successful candidate will join a project to understand and model