Sort by
Refine Your Search
-
Listed
-
Employer
- KTH Royal Institute of Technology
- Chalmers University of Technology
- Lunds universitet
- Umeå University
- SciLifeLab
- Umeå universitet stipendiemodul
- University of Lund
- Karolinska Institutet (KI)
- Lulea University of Technology
- Blekinge Institute of Technology
- Institutionen för biologi och miljövetenskap
- Linköping University
- Luleå University of Technology
- Luleå tekniska universitet
- The Swedish University of Agricultural Sciences
- Umeå universitet
- University of Borås
- University of Skövde
- Uppsala University
- Uppsala universitet
- universitypositions
- Örebro University
- 12 more »
- « less
-
Field
-
dynamics & control, developing systems that push the boundaries of robotic locomotion. Learn more at chalmers-rail.github.io . About the research project Free-standing passengers on public transport – buses
-
learning is highly advantageous Knowledge in mobile communications systems, resource allocation, and backhauling/fronthauling, both wireless and fiber-optical are advantageous Knowledge about hardware
-
possibility to teach on the undergraduate/master’s level. The position is meritorious for future roles in academia, industry, or the public sector. Contract terms Full-time temporary employment for a maximum of
-
. Location: Gävlegatan 22, Torsplan, Stockholm/Solna Learn more about KIND here Choose to work at KI – Ten reasons why Application An application must contain the following documents in English or Swedish: * A
-
data analysis, such as signal processing, modeling, statistics, or machine learning Excellent written and verbal communication skills in English, particularly in a research context It is meriting to have
-
the Uppsala University application system VARBI: https://uu.varbi.com/en/what:login/type:job/jobID:915373 The Department of Physics and Astronomy at Uppsala University, Sweden has an opening for a two-year
-
. For more information about the Akelius Math Learning Lab, see: https://www.chalmers.se/institutioner/mv/akelius-math-learning-lab/ Who we are looking for The following requirements are mandatory: Doctoral
-
tasks include: AI support in the process chain: developing and applying image analysis, data process analysis, and sensor technology for textile production; using machine learning for process optimisation
-
organised and reliable. You should also function well both independently and within a team, and of course take part in nurturing the collaborative culture of learning within the research group. Application
-
infrastructure, mobility demand, and power grid operations. On top of this environment, a deep-learning-based learning will be developed to enable decentralized and coordinated decisions on EV user charging