Sort by
Refine Your Search
-
Listed
-
Employer
- Lunds universitet
- Karolinska Institutet (KI)
- University of Lund
- Chalmers tekniska högskola
- KTH Royal Institute of Technology
- Umeå University
- Uppsala universitet
- Chalmers University of Technology
- SciLifeLab
- Linköping University
- Nature Careers
- Swedish University of Agricultural Sciences
- Umeå universitet stipendiemodul
- Mälardalen University
- Sveriges Lantbruksuniversitet
- Högskolan Väst
- Umeå universitet
- University of Gothenburg
- Chalmers telniska högskola AB
- Göteborgs universitet
- Jönköping University
- Karolinska Institutet
- Linköpings universitet
- Linnaeus University
- Linneuniversitetet
- Lulea University of Technology
- Luleå University of Technology
- Lund University
- Lund University;
- Mälardalens universitet
- Stockholm University
- Sveriges Lantrbruksuniversitet
- Sveriges lantbruksuniversitet
- Örebro University
- 24 more »
- « less
-
Field
-
of the following areas: state models, time series analysis, computational statistics, unsupervised machine learning, optimisation, model predictive control. Experience in financial mathematics. Having high integrity
-
-smokers. The successful candidate will have a leading role in the analysis of bulk- and single cell RNA-seq data, miRNA seq data from scarce particle samples, multi-omics integration and network medicine
-
participatory environment are key elements in our growth. The 60 doctoral students within the department are a diverse group from different nationalities, backgrounds and fields. We offer very good employment
-
. In this project, you will have the opportunity to combine molecular biological methods with field studies and data analysis to enhance preparedness against forest diseases and promote sustainable
-
principles, and computer-based analysis methods. The research will include investigating aggregated data from genetics, archaeology and linguistics Requirements PhD degree in Population genetics
-
related field. Documented research experience in heterogeneous catalysis, thermochemical conversion, or carbon materials. Strong experimental skills in operating laboratory-scale reactors, gas analysis, and
-
: Conducting experimental studies on radionuclide sorption onto cement phases Performing spectroscopic studies with XPS to determine metal oxidation states Participating in DFT calculations on metal sorption
-
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
-
analysis and the development of breeding systems. Species in use are model organisms such as Arabidopsis, Physcomitrella, tobacco, crops such as oilseed rape, basket willow (Salix), potato and cereals, and
-
lymphoblastic leukemia (ALL). This will include RNA-sequencing of single leukemia cells, bioinformatic analysis of the data, follow-up analyses, and functional experiments. You will be responsible for executing