Sort by
Refine Your Search
-
Listed
-
Employer
- SciLifeLab
- Umeå University
- Karolinska Institutet (KI)
- Uppsala universitet
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Nature Careers
- University of Lund
- Swedish University of Agricultural Sciences
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- University of Borås
- 2 more »
- « less
-
Field
-
risk factors. The main objective is to design and apply machine learning and deep learning methods to understand and investigate the functional behavior of gender-specific cancers. The work will include
-
systematically identify risk factors for psychiatric ill health in autistic people, using exposeome-wide methods. You will be involved in all aspects of the research process, including study design, data
-
compositions and gene expression patterns. Your profile The candidate must have an extensive experience in performing bioinformatic analyses in an independent manner. Experience with snRNA-seq and spatial
-
the humanities, integrating biological, psychological, social, and cultural perspectives across the female lifespan. Through innovative approaches, including longitudinal studies, laboratory-based and
-
mathematics. An important aspect of the ongoing research is solving stochastic partial differential equations on surfaces, e.g., with surface finite element methods. The following requirements are mandatory: A