Sort by
Refine Your Search
-
Listed
-
Employer
- University of Lund
- Chalmers University of Technology
- Nature Careers
- Linköping University
- Lulea University of Technology
- SciLifeLab
- KTH Royal Institute of Technology
- Linnaeus University
- Swedish University of Agricultural Sciences
- Umeå University
- Karolinska Institutet (KI)
- Luleå University of Technology
- Mälardalen University
- 3 more »
- « less
-
Field
-
education are conducted in close collaboration with international, national and regional companies, public actors and leading universities. Luleå University of Technology has a total turnover of nearly SEK
-
based on the Arctic region, we create global social benefit. Our scientific and artistic research and education are conducted in close collaboration with international, national and regional companies
-
. The project can be historically orientated or focus on contemporary conditions. Work duties You will work on your proposed project primarily in collaboration with colleagues in the Church and Mission Studies
-
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
-
computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
-
interdisciplinary and to learn new skills and to perform research in collaboration with others. We seek candidates with the following qualifications: A doctoral degree in a Bioscience-related field awarded
-
clinical and experimental datasets. You will join a collaborative environment and work closely with research groups specializing in microbiology (Avican Lab), machine learning (Erdem Lab), and network
-
carried out in collaboration with all the project partners. You will work with X-ray tomography experts at the Division of Solid Mechanics and MAXIV plus machine learning experts at RISE to develop state
-
the orientation of various types of nanoparticles within both thermoset and thermoplastic polymer matrices. This position entails close collaboration with industrial partners to implement the alignment technique
-
, machine learning, and bioinformatics tools. Expertise in CRISPR-based assays, especially CRISPR screening, is highly meriting, as is experience with single-cell RNA sequencing or other omics assays