Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Lunds universitet
- University of Lund
- SciLifeLab
- Linköping University
- Nature Careers
- Umeå University
- Lulea University of Technology
- Sveriges Lantbruksuniversitet
- Umeå universitet
- Umeå universitet stipendiemodul
- Jönköping University
- KTH
- Karolinska Institutet (KI)
- Mälardalen University
- Swedish University of Agricultural Sciences
- Göteborgs universitet, Department of Marine Sciences
- Högskolan Väst
- IFM, Linköping University
- IFM/Linköping University
- Linköpings universitet
- Linnaeus University
- Luleå University of Technology
- Luleå tekniska universitet
- Lund University
- Stockholms universitet
- Uppsala universitet
- 18 more »
- « less
-
Field
-
on animal behaviour and welfare in pigs, where behavioural science is integrated with artificial intelligence and deep learning for the assessment of animal welfare. You will have a central scientific role in
-
higher education teaching and learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity of further development. The position requires undertaking
-
be included, but up to no more than 20% of working hours. The position shall include the opportunity for three weeks of training in higher education teaching and learning. The work duties include
-
includes the opportunity for three weeks of training in higher education teaching and learning. The purpose of the position is to develop independence as a researcher and to create the opportunity of further
-
meteorology, especially cloud microphysics, including the initiation and growth of ice particles; machine learning (e.g. neural networks). Consideration will also be given to good collaborative skills and drive
-
these plants. The post-doc is expected to build upon existing in-house tools and, where applicable, enhance them by means of AI (machine learning) and data-driven methods. These models are aimed to support
-
candidate, who is eager to learn and has a genuine scientific interest. Extensive knowledge in and practical experience with protein expression and structural characterization is mandatory. Documented
-
of formulating them, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment
-
will also use focussed ion beam milling scanning electron microscopy (FIB-SEM) to prepare infected cells for in situ cryo-ET. The resulting tomographic data will be analysed by machine-learning assisted
-
learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity of further development. The postdoctoral position is proposed around the following project