Sort by
Refine Your Search
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- SciLifeLab
- Luleå tekniska universitet
- Umeå University
- University of Lund
- Blekinge Institute of Technology
- Linköping University
- Lulea University of Technology
- Lunds universitet
- Jönköping University
- Swedish University of Agricultural Sciences
- University of Skövde
- Uppsala universitet
- 5 more »
- « less
-
Field
-
, 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
-
the Energy Technology and Policy group which develops methods to evaluate the realism of energy and climate futures. About the research project The Energy Technology and Policy group (ENTAP ) is recruiting up
-
development of a digital HIT module • Adaptation and implementation of exercise protocols for both home- and gym-based contexts • Data collection, evaluation, and refinement of implementation strategies
-
and AI methods for materials discovery. Design and implement active-learning workflows for autonomous exploration of materials spaces. Develop and evaluate generative AI models for inverse materials
-
. The appointment will be for 2 years, with a possible extension after evaluation. Your profile To be eligible for employment as a postdoctoral researcher, a PhD or a foreign degree deemed to be equivalent to a
-
-destructive evaluation techniques, including optical and laser-based metrology, industrial X-ray computed tomography (CT), and ultrasonic sensing, will be used to monitor process stability and detect defects
-
you think. Welcome to apply at the latest September 6, 2026 (but please apply earlier, we will do continuous evaluation). KI applies individual and differentiated salary setting in accordance with our
-
. Yet robust simulation tools for evaluating these risks across diverse demographics remain lacking. This project proposes to bridge this gap by transferring state-of-the-art methods from humanoid
-
evaluate models and control-oriented methods for flexible battery-based energy-storage systems. The position offers an interdisciplinary research environment involving automatic control, electrical
-
external large-scale datasets. The role focuses on establishing the data foundations for the program’s initial modelling efforts by identifying, evaluating, integrating, and structuring large biological