Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Umeå University
- Uppsala universitet
- Nature Careers
- Umeå universitet
- Umeå universitet stipendiemodul
- Chalmers tekniska högskola
- Högskolan Väst
- Karolinska Institutet (KI)
- Lunds universitet
- SciLifeLab
- Chalmers telniska högskola AB
- Jönköping University
- Linköping University
- Linköpings University
- Linnaeus University
- Linneuniversitetet
- Lulea University of Technology
- Luleå tekniska universitet
- Lund University
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences
- 13 more »
- « less
-
Field
-
extent to which large-scale, reactivated basement structures focused mineralization. The focus is on regional-scale three-dimensional (3D) anisotropic magnetotelluric (MT) imaging of the deep crust and
-
multimodal data analysis. Experience on image processing via machine learning. Programming skills (e.g., Python) are required. Ability to communicate effectively in both spoken and written English. Merits
-
protein engineering, synthetic chemistry, nucleic acid technology, and state-of-the-art biophysical methods (spectroscopy, live cell imaging and nanotechnology) to address cutting-edge questions in biology
-
combination of calcium imaging with optogenetics, in freely behaving animals in Paolo Medini’s lab, in collaboration with Olof Lagerlöf and UmU’s new visiting professor Valentina Emiliani. Tasks
-
. Your mission Understanding disease requires weaving together many layers of biological and clinical information. By fusing multimodal data including genomics, imaging, spatial omics, and patient records
-
, and imaging such as MRI or PET/CT following spinal cord or peripheral nerve injury is highly merited. The successful candidate should be proficient in spoken English and have prior experience of writing
-
multispectral imagery, field spectrometry, and lab-based hyperspectral imaging. For more information about the department or division visit: https://www.slu.se/en/departments/crop-production-ecology/ Read more
-
models using advanced operator learning and physics-informed AI techniques, leveraging high-resolution X-ray imaging data and high-performance computing (HPC) resources. The position offers a unique
-
development for imaging liquids and solid–liquid systems at the nanoscale. Collaborate with researchers at Chalmers and beyond, and share knowledge with the wider microscopy community. Publish and present your
-
microscopy workflows to study battery materials and interfaces. Work with new approaches for preparing and transferring sensitive samples. Contribute to method development for imaging liquids and solid–liquid