65 electronics-"https:" "https:" "https:" "https:" "https:" "https:" Postdoctoral positions in Sweden
Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Umeå University
- Linköping University
- SciLifeLab
- KTH Royal Institute of Technology
- Lunds universitet
- Karlstad University
- Karolinska Institutet (KI)
- University of Lund
- Uppsala universitet
- Blekinge Institute of Technology
- Institutionen för biologi och miljövetenskap
- Luleå University of Technology
- Luleå tekniska universitet
- Swedish University of Agricultural Sciences
- The Royal Institute of Technology (KTH)
- University of Skövde
- Uppsala University
- 8 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
-
Engineering, Computer Engineering, Mechatronics Engineering, Physics, Electrical Engineering, Chemical Engineering, Mechanical Engineering or other related subjects. Experience working on experimental
-
applications sent by email will not be considered. Contact details to references will be requested after the interview. We welcome your application no later than October 15, 2026. For questions, please contact
-
qualifications Publications at top machine learning or computer vision conferences (NeurIPS, ICML, ICLR, CVPR, AISTATS etc.) are highly meriting. Expertise in Bayesian methods, generative models, multimodal models
-
analyses. The postdoc will be hosted at TDB, co-supervised by both groups, and will work at the interface of scientific computing, machine learning and particle physics. Project description Searches for dark
-
subject. Proven experience with X-ray imaging/diffraction techniques, e.g. XRD-CT, 3D-XRD, µ/nanoCT, STXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability
-
related subject. Proven experience with X-ray imaging techniques, e.g. µCT, nanoCT, TXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability to work both
-
electronically, in pdf or word format, in the application template. Research publications, e.g. monographs, which cannot be sent electronically should be sent in three sets by mail to the University Registrar
-
regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
-
, 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