Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Örebro University
- Lunds universitet
- Umeå universitet stipendiemodul
- KTH
- Nature Careers
- SciLifeLab
- Blekinge Institute of Technology
- University of Lund
- Göteborgs universitet, Department of Marine Sciences
- Högskolan Väst
- Karlstad University
- Karlstads universitet
- Linköping University
- Lulea University of Technology
- Luleå University of Technology
- SLU
- Stockholms universitet
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences
- Umeå University
- Umeå universitet
- Uppsala universitet
- 14 more »
- « less
-
Field
-
the following areas: deep learning, reinforcement learning, imitation learning, robot perception, navigation, and manipulation. Experience with whole-body control, humanoid or multi-DOF platforms, and
-
to the application deadline Hands-on experience with cleanroom fabrication techniques or precision manufacturing. Experience with CAD design and numerical simulation tools (e.g., CFD). Experience in 3D printing
-
. A copy of your PhD thesis Use the button at the foot of the page to reach the application form. A background check may be conducted as part of the application process. Please note: The applicant is
-
scenarios. The research combines field experiments, AI-based analysis of museum specimens, and advanced climate modeling to provide process-based insights into the ecological and economic consequences
-
contributing to all parts of the research process. In this position, you will primarily be responsible for planning, collecting and processing data material, analysing, reporting and disseminating the findings
-
of further announcement publishing or other types of support for the recruiting process in connection with this position. *** URL to this page https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies
-
. A copy of your PhD thesis Use the button at the foot of the page to reach the application form. A background check may be conducted as part of the application process. Please note: The applicant is
-
must rely on the optimum combination and operation of technologies that maximize the use of renewable energy sources and provide flexibility for both the networks and end-users. These plants will likely
-
within electricity networks. It is meritorious to have experience in data analysis, time-series processing, and model implementation using Python or similar tools. Awareness of diversity and equal
-
or senior staff scientist. More information: https://www.scilifelab.se/researchers/simon-koplev/ Qualifications Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement