Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- University of Lund
- Nature Careers
- SciLifeLab
- Swedish University of Agricultural Sciences
- Umeå University
- Linköping University
- Lulea University of Technology
- Linnaeus University
- Jönköping University
- Örebro University
- Mälardalen University
- Blekinge Institute of Technology
- European Magnetism Association EMA
- Karlstad University
- The Royal Institute of Technology (KTH)
- 6 more »
- « less
-
Field
-
(www.scilifelab.se ). NGI is one of the largest academic providers of next-generation sequencing technology (NGS) and SNP genotyping services in Europe, offering world-class technologies and support to researchers
-
Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9...
-
of Science and Technology. Subject area The subject area for this position is Computer Science, Cybersecurity. Background The postdoctoral researchers will be affiliated with the Department of Computer
-
of the Wallenberg Centre for Quantum Technology (WACQT, http://wacqt.se ). The core project of the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing
-
publish them in highly-ranked conference proceedings and journals in the areas of, e.g., AI/machine learning, software engineering, high-performance computing and/or other areas of interest. To the extent
-
to formalize a biological question into a computational model. Merits: Computational genomics, medical statistics, computational biology and/or imaging analysis. Experience with NGS (10x platform, Smart-Seq
-
Luleå University of Technology is in strong growth with world-leading competence in several research areas. We shape the future through innovative education and ground-breaking research results, and
-
. Qualifications requirements The applicant is required to have a PhD degree in Computer Science, Software Engineering, or related fields. The applicant must have completed the degree no more than three years before
-
application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
-
application! Work assignments The Division of Automatic Control at the Department of Electrical Engineering has a vacant post-doctoral position in the area of numerical methods for motion planning and