Sort by
Refine Your Search
-
Listed
-
Employer
- KTH Royal Institute of Technology
- Chalmers University of Technology
- Lunds universitet
- Umeå University
- Umeå universitet stipendiemodul
- SciLifeLab
- 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
-
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
-
the opportunity for three weeks of training in higher education teaching and learning. The job also includes opportunities for teaching on basic and advanced level. participation in supervision of master and PhD