Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- KTH Royal Institute of Technology
- Chalmers University of Technology
- Umeå University
- Lunds universitet
- Uppsala universitet
- Chalmers tekniska högskola
- Linköping University
- SciLifeLab
- Luleå University of Technology
- Umeå universitet
- Karolinska Institutet (KI)
- Linköpings universitet
- Blekinge Institute of Technology
- University of Lund
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg
- Linköpings University
- Malmö universitet
- Nature Careers
- Stockholms universitet
- Swedish University of Agricultural Sciences
- Örebro University
- 11 more »
- « less
-
Field
-
using suitable algorithms We expect excellent communication skills (English, spoken and written) and ability to interact efficiently in a team. Further information The position is fixed term according
-
, 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
-
; they make sense to humans and are accessible to algorithmic techniques while neural models are adaptive and learnable. The aim of this project is to develop models which combine these advantages. The project
-
, machine learning or similar. Alternatively, you have gained essentially corresponding knowledge in another way. The applicant is expected to have good knowledge of computer science, mathematics, algorithms
-
, you have gained essentially corresponding knowledge in another way. The applicant is expected to have good knowledge of computer science, mathematics, algorithms, and programming. Knowledge and
-
wireless sensor networks as well as research and education within Life Science, smart electronic sensors and medical systems. The Department of Electrical Engineering is an international workplace with
-
on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems
-
data for urban characterization. The work includes developing algorithms, performing large-scale analyses, and collaborating with partners across disciplines in remote sensing, urban studies, and climate
-
. You have a strong ability to solve problems and formulate algorithms. You also have an interest in genetics and genomics. You are organized, proactive, and can work independently as
-
space)? What are appropriate descriptors of spatial distribution in the field of materials science (e.g., Voronoi tessellations, particle-particle distances, etc.)? What are appropriate algorithms