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
- Linnaeus University
- Lulea University of Technology
- KTH Royal Institute of Technology
- Jönköping University
- Lunds universitet
- Luleå University of Technology
- Mälardalen University
- SciLifeLab
- Sveriges lantbruksuniversitet
- Umeå universitet stipendiemodul
- Lund university
- The Royal Institute of Technology (KTH)
- Umeå universitet
- University of Borås
- Uppsala universitet
- 12 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
-
network of national and international collaborators. Project overview The aim of this two-year project is to validate and further develop advanced numerical models (originally developed at Chalmers
-
Subject description This post-doctoral position is part of the EU cofund research project AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, will address
-
of genomic sequences. Despite the growing availability of high-throughput genomic data, the lack of advanced analytical frameworks has hindered forensic efforts. This project aims to develop and apply AI-based
-
animal model. However, small animal model findings are not always transferable to larger mammals or humans. The goal for the post-doc is to investigate how the tendon structure and mechanical function
-
immunity through detailed molecular characterization of these disease models. Joanna Rorbach’s lab: Our current research encompasses genetic, structural, and biochemical studies to understand the regulation
-
-canonical amino acids. The focus of the project is to identify key determinants for high-yield expression, coupling codon usage and primary and secondary structure to translation levels upon incorporation
-
, fracture, and loss of electrode integrity. To address these challenges, the project integrates advanced electrochemical characterization with state-of-the-art imaging techniques, including X-ray tomography
-
climate benefits throughout the life cycle. Research is ongoing in many disciplines such as forest management, forest economics, forest ecology, digitalization of forestry, forest damage, forest soil
-
aggravated by the substantial volume changes of silicon during cycling, leading to stress accumulation, fracture, and loss of electrode integrity. To address these challenges, the project integrates advanced