Sort by
Refine Your Search
-
Listed
-
Employer
- SciLifeLab
- Umeå University
- Lunds universitet
- KTH Royal Institute of Technology
- Chalmers University of Technology
- Chalmers tekniska högskola
- Karolinska Institutet (KI)
- Linköping University
- Luleå University of Technology
- Sveriges lantbruksuniversitet
- University of Gothenburg
- University of Lund
- 2 more »
- « less
-
Field
-
effectively within interdisciplinary research teams, fostering productive cross-disciplinary communication and teamwork. Desirable/meritorious Hands-on experience with mass spectrometry imaging data processing
-
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
-
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
-
Research Infrastructure? No Offer Description Join our efforts to experimentally build a novel material platform to study quantum phenomena at the atomic scale. If you would like to image, manipulate and
-
Join our efforts to experimentally build a novel material platform to study quantum phenomena at the atomic scale. If you would like to image, manipulate and study single atoms and molecules
-
are encouraged to apply for all three positions to increase chances of forming a strong and complementary team. Close dialogues will be held between the recruiting units during the process. Main responsibilities
-
Cancer is a leading cause of death globally, and analyzing digital pathology images for cancer diagnosis and treatment is a complex problem due to the high data volume, variability, and computational
-
to increase chances of forming a strong and complementary team. Close dialogues will be held between the recruiting units during the process. Job description The Spatial Proteomics Unit is seeking a motivated
-
on processing and analyzing large sets of medical brain imaging data. We have amassed large quantities of structural MRI (used to measure brain structure), diffusion MRI (used to measure brain connectivity) and
-
, deep learning, and human computer interaction. Furthermore, this university is Sweden’s leading university in industrial collaboration. The Machine Learning (ML) subject at the department