Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- SciLifeLab
- Umeå University
- University of Lund
- Swedish University of Agricultural Sciences
- Lunds universitet
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- Karolinska Institutet, doctoral positions
- Linköping University
- Linköping University (LiU)
- The University of Skövde
- University of Gothenburg
- University of Gothenburg/Department of Biological and Environmental Science
- Uppsala universitet
- universitypositions
- 6 more »
- « less
-
Field
-
, bioinformatics, plant biology, or a related subject deemed equivalent by the employer. The applicant should have a strong publication record relative to career stage and demonstrated ability to conduct independent
-
Apply metagenomic and bioinformatic tools to analyze microbial and viral community data Contribute to experimental work on phage isolation, cultivation, and infection assays Present findings at lab
-
Requirements A doctoral degree in bioinformatics, computational biology, cell biology with a strong computational component, or a closely related field. This eligibility requirement must be met no later than
-
, CNS injury models across species, viral gene delivery and/or bioinformatics will be considered an advantage. To be eligible for employment as a postdoctoral researcher, a PhD or a foreign degree deemed
-
techniques - Analyse gut microbiota composition using state-of-the-art methodology - Use advanced data processing services to perform bioinformatic analysis - Compile and present
-
biology and bioinformatics, microbiology and immunology, molecular biology, molecular biophysics, molecular evolution, molecular systems biology, and structural biology. While the foundation of our research
-
biology: how sex chromosomes evolve, and what shapes sex ratios in natural populations. You will work with cutting‑edge methods in population genomics, bioinformatics and modeling, alongside a bit of hands
-
data and multimodal datasets combining imaging and molecular measurements. Have a background in computational biology, bioinformatics, or machine learning for biological problems. Have experience with
-
measurements. Have a background in computational biology, bioinformatics, or machine learning for biological problems. Have experience with modern deep learning frameworks (PyTorch, JAX, or equivalent). Have
-
relevant tissues Experience with flow-assisted cell sorting (FACS) Experience in bioinformatics, basic programming, or analysis of large biological datasets Experience with genetic modification methods