Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- SciLifeLab
- KTH Royal Institute of Technology
- Umeå University
- Lunds universitet
- Uppsala universitet
- Chalmers tekniska högskola
- Karolinska Institutet (KI)
- Linköping University
- Chalmers University of Technology
- Swedish University of Agricultural Sciences
- University of Lund
- Luleå University of Technology
- Högskolan Väst
- Karolinska Institutet, doctoral positions
- Lulea University of Technology
- Lund University
- Sveriges Lantbruksuniversitet
- Umeå universitet stipendiemodul
- Chalmers University of Techonology
- Chalmers telniska högskola AB
- Fureho AB
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg
- KTH
- Linköpings University
- Linköpings universitet
- Linneuniversitetet
- Luleå tekniska universitet
- Mälardalen University
- Nature Careers
- School of Business, Society and Engineering
- Stockholms universitet
- Umeå universitet
- University of Borås
- Örebro University
- 24 more »
- « less
-
Field
-
information about us, please visit: www.dbb.su.se . Main responsibilities SciLifeLabs Cell and Molecular Imaging (CMI) platform offers access to advanced imaging technologies, from cryo-EM and tomography
-
imaging data. Our offices are located at the Clinical Research Center (CRC) in Malmö, next door to the Department of Obstetrics and Gynecology at Skåne University Hospital. This project aims to investigate
-
focus on image processing and restoration, to develop novel AI-based approaches to restore and denoise Transmission Electron Microscopy (TEM) images. This position is part of a cross-disciplinary research
-
neuronal connectivity in the brain. With live cell imaging, genetic perturbation, and transcriptomics (in collaboration: proteomics) we derive mechanistic insight into how ciliary signaling translates
-
using Cell Painting and high-content imaging. Deep learning and multivariate methods, both supervised and unsupervised. Development of software and pipelines for analysis of large-scale image data
-
microscope building and operation, photo-switching studies. Microscopy-based assays and image analysis will be an integral part of the project as well as imaging on state-of-the-art super-resolution
-
doctoral student who has Competence and skills: -Strong foundation in computer vision (e.g., object detection, image segmentation) and NLP (e.g., text reasoning, language models). -Knowledge of generative AI
-
staff position within a Research Infrastructure? No Offer Description Your team SoftiMAX is a soft X-ray beamline focussed on spectro-microscopy and coherent imaging techniques, with 2 branch lines
-
understanding and innovative fabrication processes to solve urgent problems in organic electronic devices, and enable new components with sustainable functionalities. Collaboration with industry partners will
-
. The research will involve practical DNA sampling, high-throughput genotyping, and data fusion using machine-generated harvest data, annotated images, and environmental information. The student will also evaluate