Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Karolinska Institutet (KI)
- Lunds universitet
- Uppsala universitet
- Umeå University
- University of Lund
- Chalmers tekniska högskola
- SciLifeLab
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Nature Careers
- Swedish University of Agricultural Sciences
- Sveriges Lantbruksuniversitet
- Umeå universitet stipendiemodul
- Mälardalen University
- Örebro University
- Högskolan Väst
- Linköping University
- University of Gothenburg
- Chalmers telniska högskola AB
- Göteborg Universitet
- Göteborgs universitet
- Jönköping University
- Karolinska Institutet
- Linköpings universitet
- Linnaeus University
- Linneuniversitetet
- Lulea University of Technology
- Luleå tekniska universitet
- Lund University
- Lund University;
- Mälardalens universitet
- Stockholm University
- Sveriges Lantrbruksuniversitet
- Sveriges lantbruksuniversitet
- Umeå universitet
- 25 more »
- « less
-
Field
-
quantitative methods, with a strong emphasis on GIS and spatial analysis. A central part of the work will be to trace the effectiveness of colonial health interventions across time and space, linking observed
-
-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
-
candidate must have excellent written and oral English skills and experience in synthesis and analysis of high-entropy alloys. Desirable qualifications Experience in X-ray diffraction methods, battery
-
star formation rate models. Working with survey databases, handling large and complex datasets, and integrating data from multiple instruments. Data analysis and programming, including statistical
-
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
-
. 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
-
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
-
related field. Documented research experience in heterogeneous catalysis, thermochemical conversion, or carbon materials. Strong experimental skills in operating laboratory-scale reactors, gas analysis, 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