17 Statistics positions at SciLifeLab in Sweden

PhD student position in stochastic modelling of infectious diseases

interdisciplinary and combines mathematics and statistics with applications in medicine.  A substantial part of the research will therefore be done in close collaboration with infection control practitioners

PhD position in bioinformatics and artificial intelligence

largest department of mathematics in Sweden. The department has three scientific divisions: Algebra and Geometry, Analysis and Probability Theory, and Applied Mathematics and Statistics, and conducts

PhD position in bioinformatics and artificial intelligence

largest department of mathematics in Sweden. The department has three scientific divisions: Algebra and Geometry, Analysis and Probability Theory, and Applied Mathematics and Statistics, and conducts

PhD student position in digital pathology

necessary knowledge on cancer etiology and to maintain a high level of statistical and machine learning competence with focus on image analysis. What do we offer? Choose to work at KI-Ten reasons why Career

Assistant professor in Computational biology -machine learning for multimodal molecular biology data

use of machine learning for data analysis, mathematical modelling, statistics and computational simulation of molecular biological data. The subject specifically aims to develop and apply machine

Assistant Professor in Numerical Methods

The Department of Mathematics at Stockholm University has a long tradition of excellent research. The department consists of three divisions: Mathematics, Mathematical Statistics, and Computational

Doctoral (PhD) student position in Molecular Epidemiology with application in Precision Health

qualities Requirements: The applicant must have a master’s degree in biomedical or health sciences: epidemiology, gerontology, genetics, bioinformatics, biostatistics, statistics, medical biotechnology, or a

Assistant professor in Computational biology with a focus on machine learning for multimodal molecular biology data

use of machine learning for data analysis, mathematical modelling, statistics and computational simulation of molecular biological data. The subject specifically aims to develop and apply machine

Postdoc position in bioinformatics & spatial modeling using metabarcoding data

we will harness the potential of these data and utilize them in traditional statistical models for species distribution modeling and modeling of species richness. We will also explore the potential

Bioinformatician – translational leukemia/proteomics bioinformatics

, development of proteomics/ genomics/transcriptomics pipelines and statistical analyses of quantitative data and development of software and tools for data visualizations. It is expected that the applicant is