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
-
/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy for improving the ability
-
levels of curiosity, independence, and excellent organisational skills High levels of critical thinking, problem solving, and a general drive to learn new concepts and methods Advanced skills in
-
chain, ranging from synthesis, cell assembly, characterization, modeling to scaled-up manufacturing. The 2-year postdoctoral project Machine Learning-based Electro-Chemo-Mechanical Estimation and Control
-
and Technical Acoustics is looking for a postdoc for the Swedish Research Council-funded SMILE project (Soundscape engineering with Metamaterial Innovation and LEarning). SMILE develops acoustic design
-
by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description The AICell Lab (https://aicell.io ) in the department of Applied Physics
-
, automation, autonomous systems and industrial digitalisation. Links: Geometry Assurance & Robust Design: https://www.chalmers.se/en/departments/me/research/product-development/geometry-assurance-robust-design
-
(EMI). This is a fully funded position with an open thematic orientation, and we welcome ambitious and methodologically rigorous proposals that address important questions of teaching and learning
-
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description The AICell Lab (https://aicell.io ) in the department of Applied Physics at KTH and
-
on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
-
product kinetics by ion implantation of advanced nuclear fuel (Uranium Nitride). The project is supported by the Swedish Radiation Safety Authority (https://www.stralsakerhetsmyndigheten.se/ ) and in