Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Lund
- Chalmers University of Technology
- Nature Careers
- Umeå University
- Karolinska Institutet (KI)
- Linköping University
- Swedish University of Agricultural Sciences
- KTH Royal Institute of Technology
- Lunds universitet
- Lulea University of Technology
- Jönköping University
- SciLifeLab
- Sveriges lantbruksuniversitet
- Umeå universitet stipendiemodul
- Linnaeus University
- Luleå University of Technology
- Mälardalen University
- Blekinge Institute of Technology
- Lund University
- Lund university
- Umeå universitet
- University of Gothenburg
- Uppsala universitet
- 13 more »
- « less
-
Field
-
combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
-
combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
-
The Department of Chemistry, Umeå University, Sweden, invites applications for a two-year postdoctoral fellowship within the project "Structural biology with a focus on lipoprotein transport in gram
-
2 Sep 2025 Job Information Organisation/Company Lunds universitet Department Lund University, Faculty of Medicine Research Field Medical sciences » Medicine Researcher Profile First Stage Researcher
-
24 Aug 2025 Job Information Organisation/Company Karolinska Institutet (KI) Research Field Biological sciences Medical sciences Researcher Profile Recognised Researcher (R2) Country Sweden
-
21 Aug 2025 Job Information Organisation/Company Karolinska Institutet (KI) Research Field Psychological sciences Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 14
-
physiological balance. Perform LC/MS based proteomic analyses of circulating proteins and assess their impact on organs in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic
-
sequencing and synthesis to design useful cell behaviors. The scope of this project is to combine multi-gene control technology and computer algorithms to develop a foundational discovery platform for future
-
this model with experimental data, you will uncover how RNA-binding proteins “read” this tag to determine the mRNA’s fate. This exciting work connects molecular biology and mathematical modeling, and helps
-
-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven models for complex data, including high