Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- Lunds universitet
- Karolinska Institutet (KI)
- University of Lund
- Nature Careers
- Swedish University of Agricultural Sciences
- Linköping University
- Umeå University
- Umeå universitet stipendiemodul
- KTH Royal Institute of Technology
- Lulea University of Technology
- SciLifeLab
- Uppsala universitet
- Umeå universitet
- Luleå University of Technology
- Luleå tekniska universitet
- Blekinge Institute of Technology
- KTH
- Mälardalen University
- Örebro University
- IFM, Linköping University
- Jönköping University
- SLU
- Sveriges Lantbruksuniversitet
- University of Borås
- Göteborgs universitet, Department of Marine Sciences
- Högskolan Väst
- IFM/Linköping University
- Institutionen för växtskyddsbiologi
- Karlstad University
- Linnaeus University
- Linneuniversitetet
- Luleå tekniska universitet/Luleå University of Technology
- Luleå university of technology
- Stockholms universitet
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- 27 more »
- « less
-
Field
-
-electron microscopy (cryo-EM), particularly in image reconstruction and 3D volumetric analysis of macromolecular structures. Rather than aiming to incrementally optimize existing pipelines, we are interested
-
on methodological development in cryo-electron microscopy (cryo-EM), particularly in image reconstruction and 3D volumetric analysis of macromolecular structures. Rather than aiming to incrementally optimize existing
-
focuses on methodological development in cryo-electron microscopy (cryo-EM), particularly in image reconstruction and 3D volumetric analysis of macromolecular structures. Rather than aiming to incrementally
-
than 1,800 employees and nearly 21,600 students. The Department of Civil, Environmental and Natural Resources Engineering (CENE) offers unique, collective research expertise in civil and structural engineering
-
than 1,800 employees and nearly 21,600 students. The Department of Civil, Environmental and Natural Resources Engineering (CENE) offers unique, collective research expertise in civil and structural engineering
-
expertise in civil and structural engineering. The research subject Structural Engineering is now seeking a highly motivated postdoctoral researcher contributing towards science and technology in condition
-
original research in the area of AI-based program construction or performance engineering, co-supervise one or more doctoral students, teach in the first- and second-cycle software engineering programs
-
spectrometry. The project involves developing characterization methods using mass spectrometry (FT-ICR, TOF-SIMS) and imaging techniques (SEM, TEM) for both biological and inorganic materials. Responsibilities
-
Natural History. The researcher will develop deep learning models to predict individual bee age based on wing morphology. This model will be trained of existing wing images and applied to images of museum
-
and automated floor-plan recognition, to fill data gaps and harmonise information from disparate sources. Learn more and watch our project video here: https://sb.chalmers.se/digital-material-inventories