Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Karolinska Institutet (KI)
- University of Lund
- Chalmers University of Technology
- Linköping University
- Nature Careers
- KTH Royal Institute of Technology
- Lunds universitet
- SciLifeLab
- Swedish University of Agricultural Sciences
- Umeå University
- Chalmers te
- Chalmers tekniska högskola
- Jönköping University
- Lund University
- Stockholm University
- Sveriges lantbruksuniversitet
- Umeå universitet stipendiemodul
- 7 more »
- « less
-
Field
-
particle, and astroparticle physics by applying methods from quantum field theory, computational physics, statistics, and applied mathematics. Within astroparticle physics, our focus spans from
-
, applied mathematics, or a closely related field, awarded no more than three years prior to the application deadline*. Documented research experience in machine learning, AI, or statistical modeling. Proven
-
(ImageStreamX MkII), acquiring data and developing novel analysis strategies. The project involves project management, laboratory work, data analysis and statistical processing, and manuscript writing. Where
-
applying methods from quantum field theory, computational physics, statistics, and applied mathematics. Within astroparticle physics, our focus spans from the theoretical modeling of systems and phenomena
-
of English is required, both in speech and writing. You should also have experience in handling viable blood cells and basic knowledge of scientific methodology and statistics. Furthermore, it is important to
-
Experience with serology and high-parameter flow cytometry Expertise in statistical and bioinformatic analysis of immunological datasets Experience with the development or use of viral infection models
-
candidate will have a strong background in bioinformatics, statistics, and computational biology, with demonstrated expertise in statistical and bioinformatics software. The ability to thrive in a
-
. The computational work includes, for example, the analysis of omics data and computational modeling. Experience in cell culture, molecular cloning, and bioinformatics analyses is required. Proficiency in statistics
-
Resource Management conducts education and research in the areas of forest planning, forest remote sensing, forest inventory and sampling, forest mathematical statistics and landscape studies. The department
-
to improve the statistical power of detecting and defining molecularly distinct sub-groups in small patient cohorts, and to improve our understanding of disease mechanisms on a systems level. Read more at