Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Lund
- Chalmers University of Technology
- Umeå University
- SciLifeLab
- KTH Royal Institute of Technology
- Linköping University
- Swedish University of Agricultural Sciences
- Lunds universitet
- Nature Careers
- Karolinska Institutet (KI)
- Lulea University of Technology
- Sveriges lantbruksuniversitet
- Stockholms universitet
- Mälardalen University
- Linnaeus University
- Örebro University
- Karlstad University
- Uppsala universitet
- Blekinge Institute of Technology
- Jönköping University
- Umeå universitet
- University of Gothenburg
- Luleå University of Technology
- Stockholm University
- Karlstads universitet
- Umeå universitet stipendiemodul
- University of Borås
- KTH
- Chalmers
- Chalmers University of Techonology
- Chalmers tekniska högskola
- Epishine
- Fureho AB
- Linköpings universitet
- Lund University
- Lund university
- Malmö universitet
- Mid Sweden University
- NORDITA-Nordic Institute for Theoretical Physics
- School of Business, Society and Engineering
- 30 more »
- « less
-
Field
-
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
-
. omics), imaging, electronic health care records, longitudinal patient and population registries and biobanks. The applicant is expected to have a strong computational focus on innovative development and
-
Infrastructure? No Offer Description The Department of Astronomy at Stockholm University has about 80 employees and 30 PhD students. The main research areas of the institute are Galaxies, Supernovae
-
General description of the DDLS Fellows programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
-
the molecular mechanisms underlying genome-interacting processes using a highly multidisciplinary approach that combines advanced single-molecule fluorescence imaging with a range of biophysical, structural, and
-
machine learning approaches Implement and manage workflows for large-scale data processing on high-performance computing systems Design and perform validation experiments through tissue imaging, molecular
-
on the microscopic level translates into the function on a macroscopic level. Imaging biomolecules, together with trace elements, is vital in understanding complex processes, disease mechanisms, or the effects
-
artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National
-
and cost-effective solutions integrating renewable energy sources, electrification of heat, and energy storage are deemed. We aim to design and prototype different technologies, including low and high
-
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