Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Karolinska Institutet (KI)
- University of Lund
- Chalmers University of Technology
- Linköping University
- Nature Careers
- SciLifeLab
- Swedish University of Agricultural Sciences
- Umeå University
- KTH Royal Institute of Technology
- Lund University
- Lunds universitet
- Chalmers te
- Chalmers tekniska högskola
- Göteborgs universitet
- Jönköping University
- Karlstad University
- Stockholm University
- Sveriges Lantbruksuniversitet
- Sveriges Lantrbruksuniversitet
- Sveriges lantbruksuniversitet
- Umeå universitet stipendiemodul
- 11 more »
- « less
-
Field
-
, you will collaborate with both clinical and preclinical researchers as well as experts from other research fields. You will have a central role in the project and work independently with: Statistical
-
and experience in: Handling and analyzing large datasets of genetic and coronary imaging data. Apply relevant statistical techniques to analyze registry-ascertained health outcomes in women Execute
-
to work on projects that involve statistical and quantitative genetic analyses of both laboratory and field data. You will also be involved in data collection by conducting experiments in the fish
-
organizations across public and private sectors (including the Swedish Transport Administration), you will conduct mixed-methods research combining qualitative studies, survey development, and statistical
-
studies and analyse data using appropriate statistics; publish in international journals, and participate in and present at international conferences in relevant fields; participate in the activities
-
and statistical analysis. Requirements PhD degree in population genomics, bioinformatics, applied statistics or a related area, or a foreign degree equivalent to a PhD degree in population genomics
-
analysis of metagenomic data in studies, as well as interpretation and presentation of the results. To achieve this, you will need, among other things, expertise in advanced bioinformatic and statistical
-
, statistical signal processing, implementation of signal processing systems, distributed intelligence and computing, and network science. Our work uses tools from statistical signal processing, information and
-
proteomics. Possess proficiency in R programming for statistical and bioinformatics applications. Have experience in scientific writing, including manuscript preparation, submission, and peer review processes
-
analysis, statistical modelling, linear mixed models, and machine learning among others. The position is well suited for an individual interested in quantitative genetics and data analysis that wishes