Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- University of Lund
- SciLifeLab
- Swedish University of Agricultural Sciences
- Umeå University
- Chalmers University of Technology
- Nature Careers
- Örebro University
- Linköping University
- Blekinge Institute of Technology
- Lulea University of Technology
- Karlstad University
- Linnaeus University
- Mälardalen University
- KTH
- Lund University
- NORDITA-Nordic Institute for Theoretical Physics
- University of Borås
- 7 more »
- « less
-
Field
-
process and disseminate information about opportunities: from identification of suitable major calls and grant opportunities (especially international, and especially within the EU Framework Programme, now
-
is linked to a full-time doctoral studentship for the duration of the study programme, which corresponds to four years of full-time study. More information on doctoral studentships, part-time studies
-
relation to SciLifeLab’s Director and Board, where the Executive Assistant is an important link. As an Executive Assistant, you support the Director of SciLifeLab in fulfilling the missions of SciLifeLab, as
-
expert support and developing cutting-edge bioinformatics infrastructure. Operating as a truly national initiative, NBIS employs more than 120 bioinformaticians, system developers, and data stewards across
-
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
-
documentation according to Good Laboratory Practice (GLP). Independently planning and performing experiments in consultation with the responsible researcher. The work is closely linked to an ongoing contract
-
are robust, especially in the selected industry use cases. This staff scientist position is linked to the research group Deep Data Mining in the department of Computing Science, which focuses on fusing data
-
of myocarditis through a systems medicine approach. By integrating data from genomics, virology, immunology, metabolomics, and microRNA analyses, all derived from well-characterized patient cohorts, we aim
-
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
-
career and as an opportunity to further deepen and broaden research expertise. Instructions on how to apply For more information and documents/templates/europass link, please visit https