Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- University of Lund
- Nature Careers
- Swedish University of Agricultural Sciences
- SciLifeLab
- Umeå University
- Linköping University
- Linnaeus University
- Lulea University of Technology
- Mälardalen University
- Örebro University
- Jönköping University
- Blekinge Institute of Technology
- Karlstad University
- 4 more »
- « less
-
Field
-
around 15 are PhD students. The work environment is open and welcoming, striving to provide each employee with the opportunity to develop personally and professionally. The field of solid mechanics relates
-
and in vivo model systems, applying multiple omics methods. You will be working with clinical samples, method development and several molecular biology techniques, especially PCR and sequencing as
-
Department of Ecology We are looking for a postdoc/researcher to develop and implement tools for analysis of output from Bayesian inference under phylogenetic models About the position A postdoc
-
transcriptomics and genomics datasets. The goal is to identify molecular and spatial signatures of disease progression both in human samples and in experimental models of diabetes. Qualifications: PhD in
-
developing a novel imaging and amperometry-based platform for research into neurological diseases. About us The Esbjörner lab belongs to the Division of Chemical Biology , which is part of the Department
-
of reference genomes, annotation, and characterization of transposable elements) with population genomics (such as variant calling and analyses of hybridization), and simulation-based approaches. This Postdoc
-
(“first hit”). Her team uses human pluripotent stem cells to model the early stages of the disease. As a postdoctoral researcher in the lab, you will be a key member of an interactive research team with
-
logistics and packaging, with a focus on Industry 5.0 and circular food systems. Development of data-driven models and frameworks to improve supply chain resilience and energy efficiency. Mapping and analysis
-
mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering
-
hydrodynamic models based on Partial Differential Equations (PDEs). This approach yields efficient reduced-order models that accurately represent essential lake behaviors with significantly lower computational